NTIA-REPORT-79-31

Performance of a Very Long

8 GHz Microwave Link

J.E. Farrow

R.E. Skerjanec

u.s. DEPARTMENT OF COMMERCE

Juanita M. Kreps, Secretary

Henry Geller, Assistant Secretary

for Communications and Information

November 1979

TABLE OF CONTENTS

ABSTRACT

1. INTRODUCTION

2. PATH PHYSICAL PARAMETERS

3. PATH PERFORMANCE ESTIMATES

4. DATA ACQUISITION

5. METEOROLOGICAL ANALYSIS

6. DATA PRESENTATION

6.1. Strip Chart Data from the Zugspitze

6.1.1. Diversity Performance at the

Zugspitze

6.2. Magnetic Tape Data from Hohenstadt

7. CONCLUSIONS

8. ACKNOWLEDGEMENTS

9 • REFERENCES

APPEr~DIX

iii .

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1

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2

9

9

11

12

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35

39

40

41
LIST OF FIGURES

Figure 1. DEB Phase I system map •.

Figure 2. Hohenstadt to Zugspitze profile showing

the ray trajectories for k values of

4/3 and 2/3.

Figure 3. North face of the Zugspitze.

Figure 4. Hohenstadt to Zugspitze profile showing the

terrain illuminated by the half-power antenna

beams. The rays are drawn for a k value

of 4/3.

Figure 5. Hohenstadt tower showing test antennas

installed.

Figure 6. Zugspitze equipment building showing

bEB antennas.

Figure 7. Recording of "free space" propagation

conditions made at the Zugspitze.

Figure 8. Zugspitze recording showing scintillation

type propagation conditions.

Figure 9. Zugspitze recording showing well-developed

slow phase interference fading.

Figure 10. Zugspitze recording showing diversity

switch activity caused by phase

interference fading.

Figure 11. Zugspitze recording shOwing rapid phase

interference fading.

Figure 12. Zugspitze recording showing fast changes

among various fading conditions.

Figure 13. Zugspitze recording showing depressed

median s LqnaL accompanied by rapid

phase interference fading.

Figure 14. Zugspitze recording showing lack of

correlation between very deep fades.

Figure 15. Zugspitze recording showing the degree

of protection afforded by the diversity

system.

iv

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3

4

5

6

7

8

14

16

17

18

19

20

21

23

24
Page

Figure 16. Sample computer printout of Hohenstadt

fade data. 28

Figure 17. Distribution of single-channel fade durations

in seconds, Hohenstadt data for fades 30 dB

below free-space conditions. 30

Figure 18. Distribution of single-channel fade

durations in decibels, Hohenstadt data for

fades 30 dB below free-space conditions. 31

Figure 19. Distribution of simultaneous fade durations

in seconds, Hohenstadt data for fades 30

dB below free-space conditions. 33

Figure 20. Distribution of simultaneous fade durations

in decibels, Hohenstadt data for fades

30 dB below free-space conditions. 34

Figure 21. Instantaneous received signal level distributions for all data collected at Hohenstadt. 36

Figure A-I. Hourly histogram data, 1977. 42

Figure A-2. Hourly histogram da.ta., 1977. 43

Figure A-3. Hourly histogram data, 1977. 44

Figure A-4. Hourly histogram data, 1977. 45

Figure A-5. Hourly histogram data, 1977. 46

Figure A-6. Hourly histogram data, 1977". 47

Figure A-7. Hourly histogram data, 1977. 48

Figure A-8. Hourly histogram data, 1977.

Figure A-9. Hourly histogram data, 1977.

Figure A-lO. Hourly histogram data, 1977.

Figure A-II. Hourly histogram data, 1977~

Figure A-12. Hourly histogram data, 1977.

Figure A-13. Hourly histogram data, 1978.

Figure A-l4. Hourly histogram data, 1978.

Figure A-IS. Hourly histogram data, 1978.

v

49

50

51

52

53

54

55

56
Page

Figure A-16. Hourly histogram data, 1978. 57

Figure A-17. Ilourly histogram data, 1978. 58

Figure A-18. Hourly histogram data, 1978. 59

Figure A-l9. HouzLy histogram data, 1978. 60

Figure A-20. Hourly histogram data, 1978. 61

Figure A-2l. Hourly histogram data, 1978. 62

Figure A-22. Hourly histogram data, 1978. 63

Figure A-23. Hourly histogram data" 1978. 64

Figure A-24. Hourly histogram data, 1978. 6~

Figure A-25. Hourly histogram data, 1978. 66 I

Figure A-26. Hourly histogram data, 1978. 67

Figure A-27. Hourly histogram data, 1978. 68

Figure A-28. Hourly histogram data, 1978. 69

Figure A-29. Hourly histogram data, 1978. 70

Figure A-30. Hourly histogram data, 1978. 71

Figure A-3l. Hourly histogram data, 1978. 72

Figure A-32. Hourly histogram data, 1978. 73

Figure A-33. Hourly histogram data, 1978. 14

Figure A-34. Hourly histogram data, 1978. 75

Figure A-35. Hourly histogram data, 1978. 75

Figure A-36. Hour.ly histogram data, 1978. 76

Figure A-37. Hourly histogram data, 1978. 77

Figure A-38. Hourly histogram data, 1979. 78

Figure A-39. Hourly histogram data, 1979. 80

Figure A-40. Hourly histogram data, 1979. 81

Figure A-4l. Hourly histogram data, 1979. 82

vi
Page

Figure A-42. Hourly histogram data, 1979. 83

Figure A-43. Hourly histogram data, 1979. 84

Figure A-44. I-Iourly histogram data, 1979. 85

Figure A-45. Hourly histogram data, 1979. 86

Figure A-46. Hourly histogram data, 1979. 87

Figure A-47. Hourly histogram data, 1979. 88

Figure A-48. Hourly histogram data, 1979. 89

Figure A-49. Hourly histogram data, 1979. 90

Figure A-50. Hourly histogram data, 1979~ 91

Figure A-51. Hourly histogram data, 1979. 92

Figure A-52. Hourly histogram data, 1979. 93

Figure A-53. Hourly histogram data, 1979. 94

Figure A-54. Hourly histogram data, 1979. 95

Figure A-55. Hourly histogram data, 1979. 96

Figure A-56. Hourly histogram data, 1979. 97

LIST OF TABLES

Table 6-1. System Gain Calculations

Table 6.1-1. Zugspitze Fade Data

Table 6.2-1. Ilohenstadt Fade Data

Table 6.2-2. Simultaneous fade Data by ~/1onth

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/
PERFORMANCE OF A VERY LONG

8 GHz MICROWAVE LINK

J.E. Farrow and R.E. Skerjanec*

This paper discusses measurement of signals received

over a 160-km (IOO-mile) line-of-sight microwave

radio link operating at 8.4 GHz. Signals were recorded at both ends of the path at various times

over a period of about 18 months. The effects of

macro-scale meteorological conditions are discussed,

particularly those which are peculiar to the central

European location of the path. The data obtained

from this measurement effort are presented both in

terms of radio link availability and in terms of

long-term propagation performance. The data were

also analyzed to obtain distributions of fade

duration for single receivers and for both

receivers in a diversity configuration. The study

supports the idea that it is possible to achieve

reliable propagation at 8 GHz on a link as long as

160 km and with less than normal diversity spacing.

1. INTRODUCTION

From October 1977 through June 1979, the Institute for Telecommunication Sciences of the National Telecommunications and

Information Administration conducted measurements on the Defense

Communication System (DCS) 8-GHz radio link extending from

Hohenstadt to Zugspitze in southern West Germany.

These measurements were made to analyze fading activity and

propagation characteristics on this, the longest line-of-sight

link in the Digital European Backbone (DEB) system.

The intermittent measurements included two autumnal periods

during which anomalous propagation conditions are very common in

central Europe. The interruption of measurements during the installation of the communication equipment precl.uded the collection

of data during the summer of 1978. The warmer time of the year

is expected to produce another period of disturbed propagation

(Vigants, 1975; Barnett, 1972), and this supposition appears to

be confirmed by the limited summertime data available.

*The authors are with the Institute for Telecommunication Sciences,

National Telecommunications and Information Administration, U.S.

Department of Commerce, Boulder, CO 80303.
2. PATH PHYSICAL PARAMETERS

Figure 1 is a map of the DEB Phase I system currently being

installed in Europe. The Hohenstadt-to-Zugspitze path is seen in

the upper 1/3 of the figure, and is 160 km long.

Figure 2 shows tne path profile for t.hi.svaame ,link~ Ray

tracings are included in the figure for two different vertical

refractive ind~x gradients. The upper set of rays is drawn for a

k of 4/3 and the lower rays for a k of 2/3. Note that clearance

for the center-line rays is available for even the extreme value

of refractive gradient corresponding to a k of 2/3.

The path passes over the rolling farm country and small lakes

of Bavaria and then over the Alps in southern Germany. At about

135 km from Hohenstadt, the terrain rises steeply to the high Alps

as shown in Figure 3, ,a photograph of the Zugspitze.

Figure 4 is a path profile showing terrain illuminated by the

half-power beamwidth rays of the primary antenna, (the lower antenna)

at each end of the path. This figure indicates that for a k value

of 4/3, the terrain is not strongly illuminated by the transmitter

at the Hohenstadt end of the path. The antenna pattern at Hohenstadt will" also discriminate against~re~lected energy transmitted .i:

from the Zugspitze even though the terrain is illuminated from that

end. This would/make ground reflections an unlikely cause of the

very deep phas~~interference fading observed on this and on other

such paths (Thompson, et al., 1975).

'The radio'equi,pment was configured for dual space diversity

at each terminaV~ At Hohenstadt the diversity spacing of the antennas was 25 mwith the ilower antenna 12 m above ground level.

Figure 5 shows a photograph of the Hohenstadt tower with the

test antennas installed. At the Zugspitze terminal the antennas

were separated only 5.2 m vertically because of space limitations

on the mountain top. Figure 6 is a photograph of the Zugspitze

antennas. Th~antennas were stagger~d horizontally to permit them

to fit more easily into the restricted space. Since 12 m between

antennas is the'recommended vertical spacing to avoid simultaneous

2
Adriatic

Sea

AUSTRIA

GERMANY

Mt.Cimone

Vaihingen

ITALY

SWITZERLAND

Mediterranean Sea

Figure 1. DEB Phase I system map.

3
350121

3000 A

((J

L

ill

+> 2500 (l)

E

v

--.J 200lZJ (J)

2:

W

> 1500 0

m

«

z 1000

0

H

I-

-c

> 500

W

..J

W

rzJ f(J

HST

21ZJ 40 621 80 1aa 120 140

ZUG

DISTANCE (k i. 1 c::::Jrn .E!J. t E3r- e;: )

Figure 2 . IIohenstadt to zugspitze profile showing the ray trajectories

for k values of 4/3 and 2/3.
.>

5
3500

3 fZJrZJrzJ

HST ZUG

a o 20 40 60 8fZJ 1fZJfZJ 120 140

DISTANCE (kilometers)

Figure 4. Hohenstadt to Zugspitze profile showing the terrain ~lluninated

by the half-power antenna beams. The rays are drawn for a

k value of 4/3.
7
8
deep fading on two or more diversity branches (White, 1970), the

degree of diversity protection available at this terminal was

uncertain. The system design called for lO-ft (3-m) diameter antennas and 10 watts of transmitter power at each end of the path.

3. PATH PERFORMANCE ESTIMATES

There is no single recognized model to describe in detail

the expected performance of microwave radio links longer than

about 70 km. Development of such a model is underway at this

time at ITS, under the sponsorship of the u.S. Army Communications

Command and the U.S. Air Force Electronic Systems Division. Data

for the model are being acquired on selected DEB links at 8 and

15 GHz (private communication, L. G. Hause).

The problem in selecting the equipment to be used for a

long microwave link is the unknown depth to which the link will

fade and hence the fade margin necessary to provide a given link

availability. Furthermore, there is no well-developed model to

indicate what diversity spacing is required to provide uncorrelated or independent signals for a protection channel (McGavin

~t al., 1970). The measurement program reported here will

~ddress both the problem of long-term variability and the

question of diversity spacing.

4. DATA ACQUISITION

Two separate data acquisition techniques were used on

this radio link. The measurements taken at the Zugspitze site,

because of space limitations, were made by recording the combiner

control voltage (which is approximately linear in volts versus

received level in dBm) for each diversity receiver on an analog

strip chart recorder. All analysis of the strip chart records was

done by hand. This meant that the zugspitze data could be

analyzed only by inspection; no effort was made to extract longterm signal variability information in t~rms of continuous

distributions of received signal level. The strip chart

9
recorder had a peak frequency response of 50 Hz so that rapid

variations in signal level would be preserved. The charts were

timed with rectangular wave timing signals with half periods of

one minute and one hour. Some of the more recent charts have one

channel that shows which diversity receiver was carrying traffic

so that the activity of the diversity switch could be tracked

and the adequacy of the diversity configuration evaluated.

The signal level information collected at Hohenstadt was

put ~n strip chart also; but in addition, it was fed to a

minicomputer-based data acquisition' system. The system contained an analog-to-digital converter board (A/D) which sampled

the combiner control voltage twenty times per second. The

samples were sent to a histogram program which retained every

tenth sample f or binning Lnt,o a 20-level histogram. The histogram bin interval was,3 dB so a signal level range of greater

than 60 dB could be accommodated. These histograms were accumulated for a one hour period and then written into a permanent

magnetic tape archive record. Each hourly histogram for each

channel contained about 7200 samples which provided good

resolution for level variations.

In order to take particular notice of deep fades, each A/D

sample was also sent to a fade message program. This program

was designed to measure the length 'of time that the received

sLgnalwasbelow ~predetermined threshold for any particular

event and also to note the lowest value of signal observed

during the fade. To do this the program compared two successive

samples, and if the most. vr-ecent; one was below threshold and the

previous sample was above, a fade message was opened with the

start time equal to the clock time of the fLrstsample below

threshold.

To determine the lowest level during a fade, the first

sample was retained and. the next sample compar ed wi th it. (Each

new sample was also comp.ared with the threshold to see .i.f it was

abov~ that level.) The lower value of the two was retained and

compared with the next sample value, and again the lower value

10
retained. In this way, the lowest value occurring during any

given interval would be the one which finally remained. After

the start of a fade when one or more below-threshold samples

were observed, any sample which was again above threshold would

cause the fade event message to be closed at the time associated

with the first above-threshold sample. The signal level value

which was the lowest 6bserved would also form part of the fade

event message. Thus the message would give the start time, end

time, and the lowest level of each fade below the threshold. The

beginning and ending times were known to the nearest 50 milliseconds which was the.sampl~ngi perLod of the "A!D converter. Since

both received signal level channels were being sampled and the

data handled the same way, it' was fairly straightforward to

analyze the data to determine when either or both of the signals

were below threshold. This permitted us to determine the

distribution of fade lengths at the threshold and also simultaneous fades on the two diversity branches. Even though data

were available from both ends of the path, the different methods

of acquiring and analyzing the data have made the results somewhat difficult to compare directly but the results of both

analyses will be presented later in this report.

5. METEOROLOGICAL,.ANl\LYSIS

Meteorological analyses for mi.cz'owave propagation studies

are usually done during periods of unusually bad propagation

conditions or for periods ~uring which interruptions of radio

link traffic occur. Thecauseso£ ~nterruptions have been

thoroughly discussed Ln it.her Li.t.er-abur-e (Dougherty 1968" White

1970). In general, the conditions that lead to poor propagation

are limited in space and time and can be observed and identified

only if extremely fine-grained meteorological data can be

obtained. The exceptions to this statement are such phenomena

as extremely heavy rains (which lead t.oifLoodLnq and hence considerable public notice) or fog conditions associated with

strong stratification (which will ·a.g;ain lead to public notice

11
by interfering with transportation system activity). From the

viewpoint of the student of radio propagation, it is unfortunate

that such catastrophic weather conditions are not only rare in

time but even more so in the space which he may have under

observation. For these reasons, the meteorological analysis

which was done for this path dealt only with macro-scale

phenomena such as could be determined from world-wide synoptic

meteorological charts. Specifically, the type of weather condition which has been identified as causing propagation problems

on this path and in fact over many paths in Central Europe is an

autumn condition characterized by a static or slow-moving high

pressure system (Samson, 1970). Such systems have ~een observed

to cause problems with great numbers of military microwave links

in Germany, particularly during October hence the name "Great

October Blackout" which is often used by military personnel in

Europe to refer to the phenomenon. Although this is not a

phenomenon which affects the same links every year, the pattern

is familiar enough to warrant comment.

6. DATA PRESENTATION

Recording was started at Hohenstadt in mid-October 1977 on

a test system which used the DEB antennas and a temporary transmitter at the Zugspitze and two smaller, 6-foot (2-m) temporary

antennas and two test receivers at Hohenstadt. This test system

was operated until the end of April 1978 when .the DEB radio

transmitter at the Zugspitze was turned on. At that time, the

temporary transmitter was moved to Hohenstadt and signals were

recorded in both directions on the path for a short time until

1 June 1978 when the temporary antennas at Hohenstadt were

removed to permit installation of the permanent DEB antennas.

On 23 September 1978, recording at both ends of the link

resumed using the permanent DEB equipment. The major part of the

data obtained at the Zugspitze was recorded between 23 September

1978 and 15 June 1979.

12
Table 6-1. System Gain Calculations

Path Length

Frequency

Ant. size ZUG

HST

Ant. gain ZUG

HST

Line Loss ZUG

Lower HST

Upper HST

Free Space Loss

Atmospheric Absorption

Transmitter Power

Received Signal Level

Lower Antenna

Upper Antenna

Temporary

Installation

159 krn

8.3 GHz

10 ft (3 m)

6 ft (1.8 m)

~,5. 9 dBi

41.5 dBi

2.5 dB

5.5 dB

7.7 dB

154.5 dB

2.6 dB

+42.3 dBm

-35.4 dBm

-37.6 dBm

Permanent

Installation

159 km

8.25 GHz

10 ft (3 m)

10 ft (3 m)

45.5 dBi

45.5 dBi

2.7 dB

2.0 dB

3.0 dB

154.5 dB

2.6 dB

+37dBm

-33.8 dBm

-34.8 dBm

Table 6-1 gives the values of system gain for each of the

arrangements mentioned. Note the similarity in received signal

level for the two configurations. This similarity lends confidence to the expectation that the two sets of data can be

amalgamated to present a longer term data base than either

_.would provide alone.

6.1 Strip Chart Data from the Zugspitze

The strip charts recorded at the Zugspitze were analyzed

primarily to determine the fraction of time that fading occurred.

The fading periods were further segregated roughly by fade rate,

fade depth, and the occurrence of simultaneous fades on both

diversity branches. Primarily, two different types of fading

were considered.

The first type is called scintillation which is the term

used to describe rapid, shallow fading. The signal remained

generally near the unfaded line-of-sight level with only

occasional excursions to 20 dB below this level. An example of

data obtained under the least disturbed conditions is shown in

Figure 7 and an example of scintillation fading is shown in

13
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Figure 7. Recording of "free space" propagation conditions made at the

Zugspitze.
Figure 8. On these and subsequent figures, the small rectangular

timing signal has a period of 2 minutes, and the larger rectangular timing signal has a period of 2 hours. The scintillation

fading-results from the addition of a multitude of small

received signal components of random phase and magnitude to the

main, on-path signal. These components are caused by atmospheric

turbulence and could arise from scattered or weakly reflected

signals originating from antenna side lobes or the edges of the

main beam.

A second type considered was well-developed phase interference fading which results from the addition of two or more

signal components of very nearly equal amplitude. The delayed

component would very likely arise from a strong reflection or be

due to atmospheric multipath associated with atmospheric refractive index layering.

There is a wide variation in fade rates as can be seen from

Figures 9, 10, and 11. Note that Figure 9 shows a period of

very slow fading, apparently resulting from smooth changes in

effective reflecting surface position. Figure 10 shows a more

typical fade tate which could result from more than a single

delayed component and which would in turn imply the existence of

more than one atmospheric component. Figure 11 shows a very hi~h

fade rate, and again the character of signal suggests multiple

delayed components which are changing fairly rapidly in time.

Transitions between fading regimes could be fairly rapid .as shown

by the data in Figure 12. Note that in a period of an hour or

so, the fading changed (reading right to left, in the direction

of increasing time) from scintillation fading to interference

fading to nearly undisturbed line-of-sight conditions.

Periods occurred when more than one fading mechanism

seemed to be involved. An example of this sort of condition is

illustrated in Figure 13 which shows a period of severely

depressed median signal level with superimposed phase interference fading. Periods of this severity were fortunately rare

and close inspection of the data shows that even in these severe

conditions both signals were simultaneously below the -70 dBm

15
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conditions.
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Figure 10. Zugspitze recording showing diversity switch activity caused

by phase interference fading.
19
20
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depressed median

fading.

signal accompanied
level (corresponding to peN t.hr-e shoLd) for only a small fraction

of the time.

6.1.1 Diversity Performance at the Zugspitze.

When the first charts from the Zugs~p;i.tze were reviewed, it

appeared that the correlation or similarity between the signals

from the two diversity branches might be so high as to reduce

severely the effectiveness of the diversity. The similarity of

fading patterns was thought to be caused by the close antenna

spacing at this site. Figure 14 shows an example of the data

that caused the concern. Note that even~ fine details of the

.signal are seen Ln both channeLs , However, a careful analysis

of later data showed that when deep fades occurred, they were

more often offset in time, as was the case for the deep fade just

before 2300 hours on 270ctoberl979 (Figure 14).

The offset between the minimum values is one small chart

division which is about 15 seconds. This is ample time for the

diversity switch to operate and no interference with traffic

should occur.

Figure 15 is an example of the data obtained after the

switch combiner had been connected to show which receiver was

supplying the baseband signal to the multiplex. Even though the

signals are not so similar visually as on the previous figure,

there is still a very high apparent correlation between the

signals; but the deep fades are themselves uncorrelated, that

is, they do not occur simultaneously on both channels.

From this, we have concluded that the diversity separation

in the vertical direction is ad.equate to provide signals to the

two receivers which are only infrequently subject to simultaneous deep fades.

22
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Table 6.1-1. Zugspitze Fade Data

September 1978 to June 1979

Number No· Coincident Coincident

of Phase Fades Fades

Hours No Interference Per Per Hour

Month/Year of Data Fading Fading >20 dB Month of Data

SEP 78 171 59.1% 78.4% 11 .064

OCT 78 744 38.7% 49 .-9% 61 .082

NOV 78 574 24.7% 32.9% 19 .033

DEC 78 336 84.5% 88.1% 0 0

JAN 79 240 77.9% 93.7% 0 0

FEB 79 360 70.3% 90.9% 1 .003

MAR 79 668 83.8% 94.7% 1 .001

APR 79 611 92.5% 95.6% 0 0

MAY 79 629 85.1% 91.6% 15 .024

JUN 79 336 63.4% 75.6% 12 .036

Table 6.1-1 summarizes the results of the analysis of the Zugspitze strip charts. The data are blocked off by month with the

second column giving the total number of hours of data available.

The next two columns show the fraction of the data when no fading

occurred and when no fading in excess of 20 dB was present. The

next two columns show the number of coincident fades (simultaneously observed on both channels) and the normalized coincidentfade rate per hour. This last col~mn is simply the number of

coincident fades divided by the number of hours of data. The

only complete month of data was October; during all other months

interruptions for installation, alignment, and testing led to

the loss of considerable data.

Nevertheless, Table 6.1-1 shows an interesting fact about

propagation over this link at least. The most damaging occurrences from the standpoint of traffic continuity are the

simultaneous fades below PCM threshold. Although short, these

fades will cause some disturbance. Note the increase of coincident fades per hour from September to October, the decrease during

25
November, and the absence of coincident fades in December. The

-frac t.Lon of time without deep fad i.nq decreases from September

to November but recovers to a high le.vel in December. Thi.s

large percentage of the month without deep fading persists from

December until May. The month of June again shows a significant

decr-ease in the fraction .of .t.Lme which is free from deep fading.

The table shows anot.he.r i r.e.La t.LonehLp which was suggested

by,Vigants (l975), namely, that the warmer time of the year will

be a period of increased fading activity. The marked increase

in fading in June 1979 suggests. that, this may be true ·for this

link. The rate o£simultaneouscorrelatedfading has also

increased during June so thatthe'number of fades per hour is

at ···the highest level since the .autumn. Although the table does

not; show it, the p'eriodsof severe fading through September,

October and November t.ended to last for a day or even several

days at a t.Lme while the fading periods during June occurred

generally at night and seldom lasted as long as 24 hours. This

difference in the diurnal fading pattern is presumably a reflection of the d i.ffererrt; c auaes of the atmospheric ·layer condiions. The situations which produced the autumn fading were

large, stagnan~ high pressure systems which were not chan~ed

much from day to night or from day to day since they gave rise

to 'very stableinversion~typeconditions. The summer effects,

on th~otherhand, resulted~from layering caused by night~

time radiation cooling of the ground and lower levels of the

atmosphere which would be broken up by solar heating during

the~orning. These latter effects could be modified by cloud

cover but would generally' represent typical atmospheric layering

conditions.

6.2 Magnetic Tap~ Data from Hobenstadt

As described previously, the magnetic tapes contained

hourly histograms for each receiver plus data messages giving

the beginning and end times and depth o£ fade for each excursion of the signal below threshold. The item of greatest

intere~t which resulted feam the analysis was the measured

26
propagation reliability of the radio link during the period of

investigation. Therefore, q.nalysis·beganwith a .listing and re""

view of the fade messages on each diversity channel separately.

Figure 16 shows part of a typical printout of fade messages. The

type numbers, 50 and 51, describe which of the diversity branches faded1 type 50 refers to signal fades 'on ~he radio receiver

connected to the lower ant.enna ,and 51 refers to signal fades on

the receiver connected to the upper antenna. The ·fade message

printout is organized to show the site (number 1) ,th~ type' (50

or 51) and the message length in. computer words (8, which is

used asa check of data integrity). The next two groups of

data are the start and end,t·imes·of the fade. The Julian date

is given, followed by the hour, minute, ·s.econd, and terts of milliseconds. This is f o l l.owed vby a value Ln vrndL'l i.voLtia corresponding to the lowest reading of signal level observed during the

fade, and by a duration in days,hours,·minutes, aeconds , and

tens of milliseconds. The 6ccurrence of overlapping type 50 and

51 messages is shown along with the duration of the overlap.

Since the system was being iristaIled and tested during most

"'of the test period, it was necessary to .edi.t; 'the datara·ther

~carefullyso that theapparent~fades which were caused by equipment shutdown or testiIlgwould not'contaminate the results.

The fade messages were analyzed initially by printing each

message out and attempting to eliminate those which appeared to

be ,the result of phenomena unrelatedtb propagation. Afterconsiderable study, the data 'were edited to eliminate all signal

level excursions below the eoftwa.revt.hr-eshoLd if that. excursion

lasted longer than one minute. This was longer by a considerable

margin than the majority of observed fades, and a review of. the

strip chart data showed that virtually none'of the valid data

would be eliminated if this rule was'followed.

The analysis of the fade>message data began with the development of duration histograms for each received signal level

separately and then for periods. when 'coincident fading was

observed on the two diversity channe.l.s, The time bin sizes

27
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2 OVERLAPPING MeSSAGESE~lEED 1MIN~.NUT P~INTEO

Figure 16. Sample computer printout of Hohenstadt fade data.
chosen were 0.1 s for periods up to 5 s, 0.5 s for periods from

10 to 30 sand 2 s for periods from 30 to 60 s. This selection

provided good resolution for short fade durations and kept the

number of histogram bins from being unmanageably large. These

histograms were transformed into cumulative distributions and

plotted against a logarithmic fade duration axis (on log-normal

probability paper) as shown in Figure 17. Figure 18 shows the

same data for both receivers plotted against the fade duration

in decibels, where T(dB) = 10 10glOt(s) (on linear-normal

probability paper). From Figure 17, a median value of fade

duration to a level 30 dB below the normal unfaded received signal level can be read as 2.2 seconds for the lower antenna and

3.7 seconds for the upper antenna. Both of these results are

consistent with the discussion in CCIR 1978, page 190 which indicates that for a 70 km path at this frequency, a median duration

of 5.3 seconds could be expected and that as path length increases, the duration decreases but as the path clearance increases, so does the duration. These expectations are borne out

by the data,but the large difference in median values for data

from the two antennas is puz z Li.nq since the additional path

clearance for the higher path is relatively small as can be seen

from the profile in Figure 2. Table 6.2-1 shows the size of the

data base for these curves.

Table 6.2-1. Hohenstadt Fade Data

Hours of Data Number of Fades

Upper Antenna

Lower Antenna

Both Antennas

4619

4605

4605

2225

1419

98

Fade Rate

.5

.3

.02

Note that the number of fades on the upper antenna was about half

again as large as the number observed on the lower antenna. No

explanation is offered for this phenomenon but the difference in

path clearance might have some influence on the number of fades

which occur.

29
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Hohenstadt data for fades 30 dB below free-space conditions.
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Figure 18. Distribution of single-channel fade, d~rations in decibels,

flohenstadt data for fades 30 dB beLow free--space conditions.
22.75

o

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54.1

Month Year Number of Fades

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NOV 77 16

DEC 77 12

JAN 78 6

MAR 78 5

APR 78 0

MAY 78 3

DEC 78 4

JAN 79 0

FEB 79 0

MAR 79 0

98

From Figure 18, an approximate value for the standard deviation of the fade duration T,in dB can be read. The value of

6.2 dB compares favorably with the 5.6 dB value offered by CCIR

1978. The observation that the standard deviation of fade duration depends only slightly on path geometrical characteristics

and the climatic conditions encountered seems to be supported by

these data.

A similar analysis was performed for simultaneous fades

below the -66 dBm threshold. The duration of these fades appears

to be log-normally distributed with a median value of 2.5 s.

The standard deviation of the log of the duration is 6.5 dB,

which is interestingly close to the values measured for the data

from each antenna separately. Plots of these simultaneous fade

data are given in Figures 19 and 20 against logarithmic and dB

scales. Table 6.2-2 describes the data base on which these

figures are based. Note that the bulk of the fade data was

collected during October 1977. Unfortunately, signal level

distribution and fade information from Hohenstadt was not available for the September-November 1978 time period because of

problems with the data acquisition equipment, but data were again

being collected by late November.

Table 6.2-2. Simultaneous Fade Data by Month

Total Duration,

Seconds

Average Simultaneous Fade Duration, 6.3 s.

32
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Figure 19. Distribution of simultaneous fade durations in seconds,

Hohenstadt data for fades 30 dB below free-space conditions.
-~··_··---r----···---.---·----r--····-r-·_·.,.....··· I - - .. ~---'--"""-li'i' if .,..-.......- ..._·--..--·_·----r-"··-··_·· ... i , , , , • , , .-- ·.--~-~~··lr-l

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Figure 20. Distribution of simultaneous fade durations in decibels,

Hohenstadt data for fades 30 dB below free-space conditions.
Current planning calls for data to be accumulated indefinitely on this link, and as further data become available, particularly during summer- months, supp.Lement.svtrovt.h.La repor-t will

be issued.

An interesting outcome of this study is that of the

4505 hours of data, a total of only 618 seconds of propagation

outage ,was observed. This results in an overall propagation

reliability of 0.99996. This ~alue includes the effects of

diversity improvement and assumes no bias in the sampling.

Ana;Lyzing the magnetic tape hourly histogram data at the

Boulder Laboratories began with editing the ~ata'to eliminate

periods when the system was out of operation. Most of these

outages were caused by system testing or other disturbances not

related by propagation. The editing was done by plotting the

median and the interdecile range of each hourly distribution.

These plots were grouped by weeks, and since this arrangement

gave a good representation of the radio-link performance, this

grouping was chosen for displaying the data (see Figures A-I

through A-53 in the Appendi~).

From these plots, it was fairly easy to eliminate most "of

the periods during which contaminated data were collected. The

remaining hourly histograms were then summed to obtain one

long-term distribution for each of the two diversity branches

at_Hohenstadt. Figure 21 shows these two distributions of all

·data from Hohenstadt plotted on a Rayleigh distribution grid.

The shape of the measured distributions at the high signal levels

departs somewhat from the Rayleigh distribution, but it is a good

representation of the long-term fade depth as was suggested by

Hause and Wortendyke (1979). These are, of course, single'receiver curves and hence do not inqlude diversity improvement.

7. CONCLUSIONS AND RECOMMENDATIONS

The propagation performance of this radio link is of wide

interest primarily because of the length of the path. Relatively Li,ttle 8GHz daca for such Lonq links and.;·t"·dver such an

extended period of time have been accumulated to this time,

-35
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Figure 21. Instantaneous received signal level distributions

for all data collected at Hohenstadt.

36
although a number of long links are currently being investigated.

The lack of a well-developed model for predicting the performance

of such links has made system designers somewhat reluctant to

accept long microwave links as a part of a highly reliable

communication system. At one time consideration was given to

putting an active relay site in the middle of this link, but the

data demonstrate that adequate propagation reliability is

provided without such a relay. In fact, the overall reliability

of communication between the Hohenstadt and Zugspitze terminals

(considering all possible causes for traffic interruption) would

be likely to decrease if a relay were to be interposed between

these sites. The reason for this is that any small gain in

propagation reliability (which could add only about 618 seconds

or 10.3 minutes at the very best during the period of observation) would be offset or far exceeded by time lost to station

equipment malfunctions. While it is true that such links are

possible only in specific physical situations where either one

or both terminals is elevated above the intervening terrain or

where very tall towers can be built, the practicality and

ecomonic utility of such links is more firmly established as

additional measurements are reported.

The conclusions reached as a result of studying the fairly

extensive amount of propagation data available over this link

deserve restating here. One somewhat unexpected conclusion is

that even diversity signals which appear to be highly correlated,

such as the samples shown in Figures 8 and 9, do not necessarily

result in inadequate diversity performance. In the present

instance, even though the signals are visually quite similar at

high levels, the deep fades which depress the receiver input

signal levels below the threshold of adequate performance very

seldom occur simultaneously. This permits the diversity protection switch to maintain traffic continuity even during periods

of severe fading. In the classical sense, it was possible to

achieve good diversity performance in spite of an apparent overall high correlation between the two signals.

37
The diversity spacing at>e:~ach·'''e·nd of the path was signific ant.Ly idLffer-errt; .. as was t.he r e La t.Lon..s:t1.~pb~tweenthe instantane- ;'0 ", ,-. ':. ... /' .,', . - .. -' ' .. - .. " ,;' ',_ .. ,-~ -«, 1 :"" ": ~'_'

ous values ofr;r~.ceivedisi.qnaL .LeveL pai:rsat each end . However,

in spiteof. ;the9~differences, eff ect.Lve and nearly equal diversity perforIJla:pce.was achieved~

In rev.t;~wi\l)gthe da..ta,.seye~al diff.erent types of fading ,,,. II' .. -_,-'.'.• ,.,,'. bd C ••::;, j .....i.,/ ./ ...

wer.e observed.~.>(,t~e.... m9s~."~,,l:"~qu~.nt type .... ();f .fadLnq encounte.red

was due to p}:lase int~rf~reJ:)c·e, eit:her two-ray or .multiple J ,;. ; ..>, ..,:1< ., ......" .. ,:-':... .. : '-: -,

componerrt, ;!.Tp~/ di.st.r.i.but i.on.jo..f.instantaneous .signal levels

during such p:..eri(),dS\V0UrI~ .. pr'esumabLy...b~. auba tan.t.LaLl.y vdd f f erent;

from a Ray~e.ig.p. di.st.r.Lb..uti\or-.pu.t the) ~over..a l.], Lonq-rt.erm distribution is very close to Rayleigh. The values o,frnedian received

signal level (read from Figure 21) are also within one dB of the

predicted "free-space" values shown in Table 6-1.

The analysis of the computer-collected fading data included

a tabulation of the duration of the fades which dropped 30 dB

below the "free space" signal levels and the accumulation of

these data into distributions of numbers of fades for given

duration windows. As was suggested by the CCIR information, the

fade durations are approximately log normally distributed. The

median duration of the fades and the standard deviations of

the fade duration distributions (in dB) of the Hohenstadt

computer-collected data compare favorably with the information

from CCIR documents.

All of the above conclusions support the idea that it is

definitely possible to achieve reliable propagation at 8 GHz on

a link as long as 160 km and with less than normal diversity

spacing. This is not to imply that all such systems will

perform the same way but with careful engineering it is possible

to achieve comparable performance.

38 .
8. ACKNOWLEDGEMENTS

The authors wish to express their appreciation to the

United States Air Force, Electronic Systems Division for their

support of the measurement project. We would also like to

thank the site personnel at Hohenstadt (members of the u.s.

Army 252nd Signal Companyl vand at the Zugspitze (members of the

U.S. Air Force 1945th Communication Group) for their continuing

assistance in collecting the data. ~ithout their generous help

the project could not have been 'accomplished. Particular thanks

are offered to SGT Peter Moran of 'the 252nd Signal Company who

nursed the computer system at Hohenstadt 'through several

periods of failing health.

39
9 . REFERENCES

Barnett, W.T. (1972), Multipath Propagation at 4, 6, and 11 GHz,

Bell System Tech. J., 51, No.2.

CCIR (1978), Recommendations and Reports of the CCIR, 1978 XIVth

Plenary Assembly, Kyoto, 1978, Volume V, Report 338-3.

Dougherty, H.T. (1968), A Survey of Microwave Fading Mechanisms:

Remedies and Applications, ESSA Technical Report ERL69-WPL4.

(NTIS Access. No. COM-71-50288, National Technical Information Service, Springfield, VA 22161.)

Hause, L.G.,and D.R. Wortendyke (1979), Automated Digital System

Engineering Model, NTIA-Report-79-18.

Mc Gavin, R.E., H.T. Dougherty, and C.B. Emmanuel (1970), Microwave Space and Frequency Diversity Performance 'Under

Adverse Conditions, IEEE Trans. COM-18, No.3, June,

261 - 263.

Samson, C.A., ~.A. Hart, and R.E. Skerjanec (1970), Weather

Effects on Approach and Landing Systems, FAA Report No.

FAA-RD-70-47.

Thompson, M.C. Harris B. Janes, Lockett E. Wood, and Dean Smith

(1975), Phase and Amplitude Scintillations at 9.6 GHz on an

Elevated Path, IEEE, Vol. AP-23, No.6, November 1975.

Vigants, A. (1975), Space Diversity Engineering, Bell System

Tech. J., 54, No.1.

White, R.F. (1970), Engineering Considerations for Microwave

Communication Systems, Lenkurt Electric Company. (GTELenkurt, Dept. C134, San Carlos, CA 94070).

40
APPENDIX

This appendix contains plots of hourly median and interdecile range values for each of the receivers at Hohenstadt.

The upper trace corresponds to the lower antenna and the lower

trace to the upper antenna in each figure. The ordinate scales

are received signal level in negative dBm corresponding to the

upper edges of the 3 dB wide histogram bins. Apparent discontinuities in the early data are artifacts of the data collection

procedure which have proven impossible to remove.

41
Ii

56

59

A2

~5

~8

51

SA

rd 57

60

65 ro (]) G6 I .~ 69 .... 72

75

(]) H 78

:> (]) 81 (]) :3 8A H 0 87 H 90 ..--4

rd 93

30

tJ1 rd 53 .~ 56

(/) 39 Q) 42 ro +l

Q) ~5

:> r::C '8 .~ 51

Q) H SA

U Q) 57

Q) P-I 60 P-I 65 ::> &&

69

12

15

78

81

8l

87

90

93

SUU MON TUE WED THU FRI SAT

OCT 9:- 15

Figu:t;e A-I. Hourly histogram dat.a, 1977'.

42
B' THU FAt SAT

16"-- 22

TUE"

OCT

SUN

Jj

56

59

A2A5

A8

51

SA

57

60

65

66

69

ii

78

81

SA

87

90

9'L- ~-_-.....__....._---- ___.

Ii

13

2i

AI

51

57

60

"

66

69

72

75

78

81

M

87

90

951--__......__.-._..,;;..-__-1-__....... +-__--.. ____

Figure A-~. Hourly histogram data, 1977".

43
TUE ED THtJ ~RI SAT

OCT 23- 29

co

C

co

ro (I)

I +J

"

(I)

:> (I)

(j)

H 0

H

CO

tJ"' CO

-M

(/)

(I)

ro +J

~~" (I)

:>

-M

(I)

0 (I)

(I) 0...

0...

:::>

Figure A-3. Hourly histogram data, 1977.

44
Ji

36 , ~~ 39

A2

A5

~~~~~Ju~ A8

51

SA

co 57

C s:: 60 s:: 63 "d OJ 66 I -IJ 69 c .... 72

....-4 75

OJ 78

:> OJ 81

(1) :3 SA H 0 87 H 90 ....-4

co 95

s:: 50

tn co

-H s:: I!

U) s:: 59

OJ 42

~~.~.' ~t~\ "d -IJ 45 OJ s:: 48 :>

-H 51

OJ 5'

0 OJ 57

OJ o, 60

0-& 6' ss

69

78

81

N

87

90

95

SUN "ON e mJ FAI SAT

OCT 30- 31 , NOV 1- 5

FigureA-4. Hourly histogram data, 1977.

45
SAT

. .. .. . . e mJ

6- 12

.. .. '. '. "ON Tll

NOV

.

. SUN

Ii

56

59

A2 A5

AI

51

SA

57

60

U

69

78

81

SA

87

90

956-0- ~.......-~"'-"""""'~.....--------------------I '0' 55

"

59

i

48

5t

5' 57

II

65

69

ii

78

81

SA

87

90

95....- ......--......~~.......~.,....---- ..........-.--+.......----....----...a

co

C

co

-o OJ

I +J

-.. r-t

OJ

:> OJ

OJ

H 0

H

.......I

CO

0' CO

.,-i

CI.l

OJ

ro +J

OJ

:> F:t:

.,-i

OJ

U OJ

OJ o,

0.-

Figure A-5.Hourly histogram data, 1977.

46
B

59

A2 A5

A8

51

m SA

57

rn 60

""d Q) 65

I +J 66

69 .... 72 .-I 75 Q)

:> Q) 78

Q) 81

H 0 SA

H 87

.-I 90

ro 95

50 tJ1 ro

-..-I 55

U) 56

Q) 39

""d +J A2

Q) A5

:> AS

-r=I 51 OJ SA U Q)

Q) P-& 57

P-& 60

:::> 63

66

69

72

7S

78

81

84

87

90

95

SUN "ON Tt,E e TN; r:RI SAT

,NOV 1'3- 19

Figure A-6. Hourly histogram data, 1977.

47
"

56

59

A2

A5·

A8

51

SA

co 57

60

ro

I +J

(1) U

69 ....

r-I i

(1) 78

:> (1) 81 (1) SA H 0 87 H 90 r-I

co 95

ty\ co II

.,-1

(J)

(1) n

11 ro +J

(1)

:> 48

.,-1 51

(1) 5'

0 (1) 57

(1) Pot .0 Pot 65

;;

69

72

75

78

81

SA

87

90

95

SUN T\.l WED T~ r:RI SAT

NOV 20- 26

Figure A-7. Hourly histogram data, 1977.

48
.'5

I

A2

59 ~~~ A8

51

SA

m 57

C c 60

c 65

ro 0) '66

I +J 69

....

0) 78

:> 0) 81

0) 8A

H 0 87

H 90

95 m

Ii c

01 m

-ri

U)

c

c

0)

n

ro +J i

0) C .q ......

...... 51 -ri 5& OJ 57 o 0)

'0) 0.. 60

0.. 6'"

69

ii

78

81

M

87

1&

SW ttON TlE e TMJ t:RI SAT

NOV 27- 30, DEC 1- 3

Figure A-8. Hourly histogram data, 1977.

49
Ii

56

59

A2A5

AS

51

5'

co 57 C 60 c 63 ro OJ 66 I +J 69 s:: -.. r< 72

r-I 75

OJ 78

:> OJ 81

OJ " H 0 87 H 90 r-I

co 95

.r-i

c

ty\ co

s::

H

CI.l II OJ

-o

OJ

+J 21

AI :>

.r-i 51

OJ

o OJ

OJ o,

::J

o, U

"

69

ii

78

81

..

R

UI 1\£ e TJl1 FIt! ~T

DEC 4- 10

Figure A-9. Hourly histogram data, 1977.

50
Jj

36

59

A2 A5

48

51

SA

57

&0&5

&6&9

78

81

U

87

90

95ijl----------------------------t

ft ,<11

48

51

sa

57

60&5

"

69

72

75

78

81

U

81

90

9!1--__......__.......~--.......--__I-----....._-__I~-- ... nl

DEC

e m1

1J - 17

SAT

Figure A-IO. Hourly histogram data, 1977.

51
SUN T\£

DEC

e 1lIJ

18- 24

FRI SAT

Figure A-II. Hourly histogram data, 1977.

52
Ii

Jt~~~"

56

59

A2A5

AS

51

SA

m 57

C 60

p:t S5 r(j OJ S6 01 +J 69 .... 72

r-I 75

OJ H 78

:> OJ 81

OJ :3 U

H 0 87

....::l 90 r-I

m 95

50

tJl m 55 .~ 56

Cf.l 59

OJ

ro +J :i OJ A8 :>

.~ 51

5£ OJ H

0 OJ 57

OJ

o, II

"

69

72

75

78

8t

N

87

90

95

1\£

DEC

e mJ

25- 29

SAT

Figure A-12. Hourly histogram data, 1977.

53
50

55

56

59

.&2

'5

'851

co 5'

57 E:1 6O

'"d OJ 6S

I +J 66

69 -.. 72

M 7! OJ 78 :> OJ 81 C) :3 ., H 0

H 87

M to

co 9S

SO

tJ1 co SS -r-i .6 (l) SI OJ

'"d +J 42

OJ s:: '1

:> ••

-r-i 11

OJ "

0 OJ 17

OJ o,

o, CO

IS ::J "

It

72

71

71

81

..

87

10

IS

TUE .a TNU ntI SAT

~AN 1- 7

Figure A-13. Hourly histogram data, 1978.

54
50

55

56

59

42

A5

A8

51

!.t

co 57

S s:: 60 CO s:: 65 res OJ 66 I -W 69 s:: --. 72

......-I 7!

OJ H 78

:> OJ 81

OJ :3 SA ...:l 0 87 ...:l 90 ......-I

co 95

s:: SO

ty\ co 55

-..-I s:: 56

U) c 59

OJ A2 '"d +J .5 OJ s:: AI > II -..-I " OJ H

0 OJ 17

OJ 80

c, 85

::J 81

8'

72

7S

71

II

..

17

90

15

SUN TUE "!D mJ 'AI SAT

~AN 8- lA

Figure A-14. Hourly histogram data, 1978.

55
50

55

..- 59

56 lp

M A2

A!

AI

51

!SA

co 57 c-'

l-I 10

P:l IS ro Q) " I +J I' 72

rl 71

Q) 71

:> Q) II

Q) :3 let

H 0 17 H 10 rl IS co 10

b1 co II

.r-1

U)

•

II

t Q) Q

ro +J 41

Q) • t, :> II .r-1

ill M

17 0 Q)

Q) o, 10

o, II

::J II

"

72

71

71

II

..

•7

10

IS

• mJ "'1 SAT

~AN 15- 21

Figure A-IS. Hourly histogram data, 1978.

56
50

5S

• .. 59

42

'5

..

51

co

"

57

s:: 10

s:: IS

'""d (l) 81

I -IJ n .... 72

71 r-I

(l) 71

:> (l) I.

(l) ..

J--=l 0 17

J--=l 10

r-I II co SO

tJ1 co n •...-1 .. (,t) II

OJ Q

'""d -IJ •

OJ

•

:> ,::J:: •

II -...-I .. OJ 17 o OJ

OJ o, .0 c~ o, II

::J ..

II

72

11

71

II

..

17

10• ... ... . ... ... ...

IUN lION TUI MID TIll 'II SAT

'-'AN 22- 28

Figure A-16. Hourly histogram data, 1978.

57
50

55

56

59

42

.IS

...

51

SA

co 57 C 60

65 ro OJ 66 I 4J C9

" 72

M 7!

OJ 71

OJ II

OJ :3 1£ H 0 17 H 10 M

co IS

SO

ty\ ro SS

-r-f

U) •

n OJ 42 ro 4J .II OJ

-r-f

•

II

OJ let

0 OJ 17

OJ o, -60

P-t IS 0 II

n

72

71

71

II

let

17

10

IS

111111111111.11

. . -. -. . . .

.... 'tON 1\£ G "., r:R1 SAT

JAN 29- 31', ~EB 1- 4

Figure A-17. Hourly histogram data, 1978.

50
50

55

56

59

...

'5

A2 ..

51

N

ro 57

C 80

CO 8S

rQ Q) " I +> 81 .... 72

r-I 71

Q) 71

:> Q) II

Q) :3 ..

.-:I 0 17

H

" r-I II ro 10

tJ1 ro II

-r-I II

(/) c II

Q) Q

rQ +>

OJ •

:> •

11 -r-I

Q) ..

17 o Q)

OJ 0.. .0

o, IS

:::> II.1

72

11

71

II

..

17

10

I' .. . .. .. SUN .. T\E • ,.., ,..1 SAT

~EB 12-- 18

Figure. A-18. Hourly histogram data, 1978.

59
50

55

S6

59

.t2

'5

.q

51

co !'

S s:: 57

s:: 60

-o OJ 65

I 4J

s::

"

69

r< 72

.-I 7! Q) 78 :> Q)

Q) 81

0 ...7

.-I 10

co IS

s:: SO

tJ"' co SS -M

(J)

s::

s:: ..

II OJ

ro 4J Q

:>

Q) s:: •

-M

•

11

(1) ..

U Q) 17 C) 04 10 p~ 0... II ::> II

II

72

11

71

II

..

•7

10

IS

SUN

. ... ... .. .... '

- - T\E tIED TIll ntl SAT

~EB 26".. 28, MAR 1.. 4

Figure A-19. Hourly histogram data, 1978.

60
50

55

5S

59 ...

.&5

...

51

co 5'

57 S 10 CO II ra OJ

I +J "

II ... 72

M 7!

OJ 78 OJ 81 OJ It 0

H 87

M 10

co II

SO

b"' co SS

-,-1 II U) II '.11'11

111

OJ

r"(j Q +J

OJ .1

.. -~ 11

OJ M

o OJ 17

OJ o, 10

IS :::> II

II

72

11

71

I'

..

17

10

IS

q

.' "., "1 SAT

MAR 12- 18

Figure A-20. Hourly histogram data, 1978.

61
co

C

-o Q)

I +J

... r-I

(I)

:> (I)

Q)

H 0

H

r-I

CO

t;'\ CO

en

U)

(I)

ro +J

(I)

:>

en

(I)

0 (I)

(I) Pot

Pot

::J

SUN

MAR • 11lJ

19.. 25

"1 SAT

Figure A-21. Hourly histogram data, 1978.

62
50

5·5

S8

59

'5

..

51

ro

"

57 S C 10 C IS ro OJ " I -+J 19 C -.. 72

7S

OJ 78

:> OJ 81

OJ .. H 0 17 H 10

ro IS

C SO

b1 ro SS

-n C H

(J) c II

OJ .t2 ro -+J .1 OJ C

i<C •

11 -n

OJ ..

U OJ 17

OJ o, 10

o, II

:::> II

n

72

11

7.

II

..

17

10

IS

SUN 'tON

MAR

1\& lIED

26- 31,

mJ

APR 1

SAT

Figure A-22. Hourly histogram data, 1978.

63
cd

S s::

r::Q s::

ro OJ

I +J

s:: "..-I

OJ H

:> OJ

OJ

H 0

H

..-I

cd

s::

t;l cd

.r-I s::

U) s::

OJ

ro +J

OJ s::

:> t<

.r-I

Q) H

U OJ

OJ

p:: o,

p

T\a

APR

..,

2 ..

SAT

Figure A-23. Hourly histogram data, 1978~

64
50

55

58

19

42

A5

.q

51

5'

co 57

s:: 60

s:: 6S ro OJ 68 I +J n -. 72

M 71

OJ 71

:> OJ II

OJ ..

H 0 17 H .0 M

co IS

s:: 10

01 co II

-,.-i s:: ..

U) s:: II

OJ 42

ro +J .- OJ s::

-,.-i

:> r:::C •

11

OJ ..

U OJ 17

OJ 10

o, IS

::> ..

II

72

11

71

II

..

17

to

..

• "., "1 SAT

APR 9- 15

Figure A-24. Hourly histogram data, 1978.

65
SAT

-

11111111111.1111

• TIll

16- 22

T\E

APR

so

SS

S8

59

Q

,.

'5

51

co

"

57

E: s:: SO

CQ s:: SS

ro Q)

I +J •

n s:: 72 .... r<: 7S ....-I

Q) 5--1 78

:> Q) II

Q) .,

...:J 0 17

...:J 10

....-I IS ro 10 s:: II 0" ro

-M s:: II

U) s:: ..

Q) Q

'"d +J

Q) s:: ,.

•

:> .<: 11 -M

Q) .. 5--1 17 o Q)

Q) o, 10

o, IS

::> II

II

72

7S

71

II

.,

.7

90

IS

SUN

Figure A-25. Hourly histogram data, 1978.

66
50 • 55 • 58

51

A2

'5

AI

51

5'

co 57

SO

SS

ra Q) 18

I +l

.... 'I72 e<:

.-I 71

(]) 71

(]) II

Q) .,

H 0 17 H .0

.-I

co 'SSO C

t;l co IS

-..-l C II

'"d

(J)

+l

c

(]) Q

.1

It ...-..•

OJ C ..

11 -..-l

(]) ..

17 o (])

(]) P4 10

P:: P4 IS

p II

II

72

11

71

II

..

17

10

"

T\E • TIll ,ntl SAT

APR 23- 29

Figure A-26. Hourly histogram data, 1978.

67
50

55

56

5.

Q

•

•

51

Set

co 57 S SO

SS ""d OJ 18 I 4J a -.. ,::x:: 72

r-t 71

OJ 71

:> OJ II

OJ .. H 0 17 H 10 r-I

co IS

10

tJl co II

.r-I c ..

Cf.) II OJ Q ""d 4J .- OJ

.r-I

:> ,::x:: •

II

OJ N

o OJ 17

OJ 0-1 10

c.::: 0-1 I ::J II

..

APR • mJ

30- 30, MAY

"1 SAT

1- 6

Figure A-27. Hourly histogram data, 1978.

68
10

IS

II - 19

.t2

'1

...

II

!'

co 17

C 80

CO 8S res (1) 88 I +J n

72

r-f 7S

(1) 78

:> Q) II

(1) ..

H 0 87 H 10 r-f IS co SO

tn co SS

.r-I ..

(J) II

(1) Q

ro +J 41

(1) .. :> t==:C II .r-I

(1) ..

U (1) 17

(1) P-i 10

P:: P-i II

::J II

II

72

11

71

II

14

17

10

IS

T\& G TIll ,..1 SAT

MAY 7-- 13

Figure A-28.Hour1y histogram data, 1978.

69
50

55

56

59

.&2

A!5

AI

!5t

!SA

co 57

S s:: 60

s:: 65

ro (1) "

I +J 69 s:: , 72

M 7!

Q) H 78

:> Q) 8t

Q) 8A

H 0 87

H .0

M .1 co 10 s:: II tJ" co •

(J)

..-1 s::

s::

•

II

Q) Q

ro +J atl

Q) s:: ... :> 11 •..-1 " Q) H 17 o Q)

Q) o, 10

p::; o, II

::J

"

It

72

11

71

.1

let

17to'I

1\E 11lI r:RJ SAT

MAY 20

Figure A-29. Hourly histogram data, 1978.

70
SO

51

58

51

.t2

'5

AI

51

5'

co 57

S s:: 10

t:Q s:: II

ro OJ "

I +J n s:: 72 -. 7S H 71 OJ H

:> OJ 81

OJ :3 ..

H 0 87

H .0

H I. m SO s:: I. ty\ co .~

Cf)

s::

s::

•

II

OJ 42

ro +J

OJ ..

•

:> II .~ .. OJ H 17 0 OJ

OJ o, .0

a

:::> ..

II

72

11

71

II

..

17

10I.

.. TMJ ,.1 SAT

MAY 201" 27

Figure A-3D. Hourly histogram data, 1978.

71
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Figure A-31. Hourly histogram data, 1978.

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Figure A-32. Hourly histogram data, 1978.

73
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Figure A-33. Hourly histogram data, 1978.

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Figure A-34. Hourly histogram data, 1978.

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Figure A-35. Hourly histogram data, 1978.

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Figure A-37. Hourly histogram data, 1978.

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Figure A-41. Hourly histogram data, 1979.

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97

FORM OT-29 (3-73)

u.s, DEPARTMENT OF COMMERCE OFFiCE OF TELECOMMUNICATIONS

BIBLIOGRAPHIC DATA SHEET

1. PUBLICATION OR REPORT NO 2. Gov't Accession No.3. Recipient's Accession No.

NTIA Report 79-31

4. TITLE AND SUBTITLE

PERFORMANCE OF A VERY LONG 8 GHz

MICROWAVE LINK

s. Publication Date

November 1979

6. Performing Organization Code

NTIA/ITS

9103479

10. Contract/Grant No.

7. AUTHOR(S) 9. Project/Task/Work Unit No.

J.E. Farrow and R.E. Skerjanec

8. PERFORMING ORGANIZATION NAME AND ADDRESS U. S. Department

of Commerce, National Telecommunications and

Information Administration, Institute for Tele-~----------------------~

communication Sciences, 325 Brdwy.,

Boulder, Colorado 80303

11. Sponsoring Organization Name and Address 12. Type of Report and Period Covered

Electronics System Division

Hanscom AFB

114. SUPPLEMENTARY NOTES

NTIA Report

13.

15. ABS!RACT (A 2?O-word or less factual summary of most signiti cent information. If document includes a significant

bi llz()~ra(Jhy at lit ereture survey, mention it here.)

This paper discusses measurement of signals received over a l60-km

(IOO-mile) line-of-sight microwave radio link operating at 8.4 GHz.

Signals were recorded at both ends of the path at various times

over a period of about 18 months. The effects of macro-scale

meteorological conditions are discussed particularly those which

are peculiar to the central European location of the path. The data I obtained from this measurement effort are presented both in terms

of radio link availability and in terms of long-term propagation

performance. The data were also analyzed to obtain distributions of

fade duration for single receivers and for both receivers in a

diVersity configuration. The study supports the idea that it is

possible to achieve reliable propagation at 8 GHz on a link as long

as 160 km and with less than normal diversity spacing.

16. Key works (Alphabetical order, separated by semicolons)

17. AVAILABILITY STATEMENT 18. Securi rv Class (This report) 20. Number of pages

UNLIMITED. Unclassified 106

o FOR OFFICIAL DISTRIBUTION.

19. Security Class '(This page)

Unclassified

21. Price:

l'SCOMM-OC 297 t C5-P73

*U. S. GOVERNMENT PRINTING OFFICE 1979 - 682-2T2/170 Reg. 8