AN ULTRA WIDE BAND COHERENT RADAR SYSTEM OPTIMISING THE RADIO INTERFERENCE DISCRIMINATION CAPABILITY

Abstract: The present invention relates to an ultra wide band coherent radar system assessing the Doppler shift of the returned radar echoes, which radar system optimises the radio interference discrimination capability. The radar system comprises a control unit by which the transmit-receive process is partitioned into a number of consecutive sub-processes each of which consists of transmission followed by reception of a signal having a relative bandwidth of a fraction of an octave and where the received signals from the different narrow band transmissions are used to reconstruct broad band radar data by pulse compression techniques. Further, the control unit is arranged to determine the recurrence time, i.e. the time lapse between two consecutive transmissions, of a narrow band signal for a certain frequency step to be approximately inversely proportional to the frequency of this step and higher or equal to the Nyquist rate with respect to the Doppler bandwidth at this frequency.

Description: An ultra wide band coherent radar system optimising the radio interference discrimination capability ___ ^ ______ The present invention relates to an ultra wide band coherent radar system assessing the Doppler shift of the returned radar echoes, which radar system optimises the radio interference discrimination capability. The invention has arisen during the design of low frequency ultra wide band - UWB - SAR radars. It is, however, possible to apply the invention in UWB radar systems working at other frequencies and of other design, as long as they are coherent radar systems assessing the Doppler shift of the radar echo, which is obvious to a man skilled in radar technology. The invention will in the following be described based on the mentioned low frequency UWB SAR concept. The term ultra wide band - UWB - implies that the radar operates with a radar signal relative bandwidth of the order of one octave or larger. Thus range resolution will be of wavelength order. Low frequency is understood in the sense that the frequency is below the microwave frequencies mostly used by radars. Since frequencies below the microwave region are adopted generally for telecommunication, the problem of interference with telecommunication signals arises. The invention more specifically lays down a radar design in which the pattern of radar signal transmission and reception has the specific purpose of allowing cohabitation between radar operation and ongoing telecommunication services in the same frequency band. The primarily conceived embodiment of the invention is in a radar aircraft moving above the earth surface for the purpose of obtaining wavelength resolution radar images of the ground. The images are obtained by a signal processing technique known as synthetic aperture radar - SAR. The requirement of wavelength resolution is in this context considered a merit in its own, reducing the SAR image noise inde¬ pendently of resolution. Thus one may improve SAR image quality at a given reso- lution by reducing the frequency thus diminishing the ratio between spatial resolu¬ tion and wavelength. Therefore shifting frequencies down into the telecommunica¬ tion band is of interest. While UWB signals provides wavelength range resolution, a similarly high cross range resolution calls for a radar antenna which collects signals over a wide aspect angle interval (beamwidths in the regime 30° - 130°). The combination of large rela¬ tive bandwidth and a wide aspect interval for data collection enables the wavelength limit for resolution to be approached, as has been successfully demonstrated in the CARABAS system for instance. The fundamental limitation of microwave radar performance is set by thermal noise with which the radar signal has to compete. For low frequency radars, operating in all but extremely remote areas of the world, performance is not limited by thermal noise but by man-made radio frequency interference - RFI - which will be highly abundant below 1 GHz. The statistical character of RFI is entirely different from the Gaussian statistics of thermal noise. Radio traffic signals (in which term here also television broadcast signals are incor¬ porated), which are the cause of the RFI, invariably appear with bandwidths much smaller than the bandwidth used by the radar. For pure radio signals the bandwidth may be as narrow as 1 kHz. Television signals are much more broad band but are still narrow band compared to the radar bandwidth. At frequencies above the short wave bands, i.e. above say 20 MHz, the radio traffic signals normally stem from nearby and sometimes line-of-sight radio transmitters. The received radar signal, which is the echo from the ground of the preceding transmit radar signal, is typically many orders of magnitude weaker than these radio signals. Therefore the bands used by radio traffic are not usable for the radar, though only some percentage of the radar band would actually be occupied by RFI and thus unusable. However in order to enable the void frequencies to be fully exploited the requirements on radar reception linear dynamic range are extreme. The required radar performance is achieved essentially by two design steps. A schematic diagram of a radar built on these principles is shown in Figure 1. The first step is to subdivide the broad band transmit-receive process into a number of sub processes each of which consists of transmission followed by reception of a signal which span some fraction of the full bandwidth 8. In this way the requirement on dynamic range of the recorded data is considerably reduced be¬ cause only a fraction of the full RFI environment has to compete with the radar signal at any instant. At the same time according to the Nyquist sampling criterion the received signal can be sampled at slower rate because its bandwidth is re¬ duced. Typically an AD converter operating with 14 bits of precision at 5 MHz sampling rate may be used, whereas each frequency step may span 2 MHz of bandwidth. If RFI invariably were narrow band, it could be modelled as a set of sinusoids during the time interval of radar reception. It would then be possible to filter out RFI by subtracting radar data by sinusoids matched to the RFI. This is in fact a common method of RFI filtering. However RFI may also be considerably more broad band and thus assume forms that cannot be modelled as a discrete set of sinusoids. In order to deal with all forms of RFI, the receive time must be of the order of a milli¬ second so that the achieved spectral resolution is comparable with the minimum bandwidth 1 kHz of RFI. Then RFI can be removed by bandstop filtering with 1 kHz resolution bandwidth in the Fourier spectrum of the received signal, where the bandstop filters fully adapts to and covers the RFI sources irrespective of whether these are narrow or more broad band. Correspondingly the second design step is to optimise the duration of each frequency step. An ultimate limit on reception time is set by the recurrence time for each frequency step which must be sufficiently short that the backscattered signal should be sampled at the Nyquist rate with respect to the Doppler bandwidth. Satisfying this criterion the radar data define a function g r,Q) where r denotes range and Q is any point on the radar aircraft track. The spatial bandwidth of the function in the parameters r and Q is given by the overall bandwidth B spanned by the frequency step sequence. As for the interpolation, radar data available for each frequency step consist of a signal g{ v m(] I r,Q n ), where Q n ,n = 1,2,... is the set of aircraft positions in the con- tinuing process of frequency stepping. Here, v m denotes the frequency of each step and m n is the frequency step list. It is assumed that the signal has been for¬ matted as a pulse compressed IQ (i.e. complex zero carrier) signal. Consider for an arbitrary aircraft position Q and an arbitrary frequency step v mn the two adjacent positions Q n ,Q n+N for transmission of the frequency v m = v m . Because g[ v mπ ,r,Q n ) is well sampled with respect to Q, zero or first order interpolation will define g[ v m^ , r,Q) with reasonable accuracy. Adopting first order linear interpolation we obtain , [1] where denotes distance between any two vehicle positions. Assume that M = S/β step steps covers the step sequence spectrum. Upconverting and adding the signals g[ v m , r,Q) , the full compressed signal is given by the formula The Doppler bandwidth for a wide beam radar is 4V/λ, where V is aircraft ground speed, and λ the radar wavelength. Because the Doppler bandwidth decreases with frequency, at lower frequencies the recurrence time will be longer. At the same time for a lower centre frequency of the radar system, the system bandwidth will be smaller for a given relative bandwidth so fewer frequency steps are required. Therefore, adopting low frequencies for a UWB radar, the duration of each fre¬ quency step can be made longer. As mentioned, the ideal duration of each fre¬ quency step is of the order a millisecond. The low frequency UWB SAR radar CARABAS, for instance, operates in the frequency regime 20 - 80 MHz, providing two octaves of bandwidth with the lowest frequencies just above the long distance short wave radio traffic. Hence circa 30 frequency steps of 2 MHz bandwidth are required to span the full band. Doppler bandwidths will vary in the interval 25 - 100 Hz, given a typical aircraft ground speed of circa 100 m/s. Typical recurrence times are thus in the order of tens of milliseconds, while the dwell time at each frequency step will be some fraction of a millisecond. The first design technique mentioned of frequency stepping the radar is not new. However, the following step of non-sequential frequency jumping is a new tech- nology and object of the present invention. To the problems discussed here it gives a solution by being designed according to the following independent claim. Advan¬ tageous embodiments of the invention will be described in the dependent claims. The invention will in the following be described in detail with reference to the enclosed drawings, where fig. 1 shows one embodiment of a radar according to the invention, fig. 2 shows the initial frequency steps of a step sequence according to the invention , fig. 3 shows the concluding frequency steps of the step sequence of fig. 2, fig. 4 shows an optimal frequency step sequence (to be read rowwise) according to the invention, and o fig. 5 shows mean (continuous) and max. and min. values (dotted) for Aτ Vm as a function of frequency. Assume that the step dwell time is 7^,. Available receiver technology - in particular AD technology - restricts B slep to circa 2 MHz under the extreme requirements on receiver dynamic range which were discussed previously. In order to suppress radio signals in both transmit and receive radar signals (both of approximately equal length) it is required that independently of what surveillance range is required T stβp « 10 "3 s. Thus both B step and 7^ (βp are frequency independent quantities, set by given circumstances. Consider now, given B step and 7^ βp , what SAR image surface resolution AA and cross track range x max can be achieved. If the SAR image extends to cross track ranges up to x max , one must require Ar 4x 1 s,ep ~ c - c cos(Δ0/2) - [ ] SAR operation requires a wide aspect angle Aθ for data collection. UWB SAR aerial resolution is related to Aθ according to an exact formula, see L.M.H. Ulander and H. Hellsten "A New Formula for SAR Spatial Resolution", A. E. 0. Int. J. Electron. Commun., AA = [4] ( ^max + ^ 2 ( Knax " riin) Less exactly, the first factor is azimuth and the second factor is range resolution. The given formulas affects frequency step recurrence time. The recurrence rate T v , equal to the Doppler bandwidth adopted for processing, is set by the adopted aspect angle interval Hence for a beamwidth approaching 180° one has 1/7 " v « ΛV/λ as mentioned. The non-sequential step rate is the average recurrence rate across the frequency band times the number of steps required to span the full bandwidth 2V v - \> r sin(Δ6>/2) [6] step B s,tep This formula implies for an UWB system Even for large beamwidths, as a fairly good approximation of the resolution formula [4] applied to non-sequential stepping through [6] The formula demonstrates the conflict between the requirements for • high resolution, • low step bandwidth for the purposes of high dynamic range and low data rate, • long step dwell time for the purposes of sharp RFI notching and large surveil¬ lance range. For instance with V = 100 m/s, T slep = 10 "3 s, and β s/ep = 2 MHz, [8] implies AA - 7.5 m 2 . Unless a coarser resolution is accepted the upper frequency should be chosen v max w 100 MHz according to [7], Combining [6] and [3] It is seen that a long step dwell time and a small step bandwidth are advantageous from the viewpoint of cross track range, i.e. aerial coverage capacity. However this reduces resolution. In fact, in view of the resolution formula [9], step dwell time has to be sacrificed somewhat. Choosing max = 80 MHz, v m = 20 MHz and Aθ ~ 1 13° then T step = 6 x 10 -4 s by [6]. Hence AA = 1.5 x 2.5 m 2 by [8] and ^ 25 km by [9]. For sequential stepping the recurrence rate across the adopted frequency band must be determined by the highest Doppler bandwidth, thus 1 1 4 ^V » v mmaaxx (\ \ V m max -sin(Δ0/2) , [10] T s.tep B s.tep so for the sequential step rate, the formula corresponding to [9] becomes To achieve the same cross track range as for sequential stepping, choose T stθp = 4.5 x "\ 0 ~ s. Then according to [10] Δ< « 88° which implies according to [11] x max = 25 km. However, AA = 2 x 2.5 m 2 , according to [8], which is a coarser reso- lution compared to sequential stepping. In summary then, sequential stepping seems advantageous both because resolu¬ tion is improved at a given aerial coverage rate and integration time for RFI notching is improved. Note also that according to [8] resolution is restricted to be at best of the order a few square meters if B step and 7^ ep are chosen to yield high performance RFI suppression. For wavelength resolution SAR imaging this requires meter wavelengths, i.e. essentially the choice of frequencies which has been discussed here. The next task is to construct a frequency step sequence v m = v max - B step x (m n - 1), m n l n - 0, 1,2,.... based upon the foregoing idea of non-sequential stepping. While frequency step recurrence intervals T should be given by [5], this relation can only v be approximate because step dwell times 7^ ep are assumed fixed and frequency steps at certain frequency have to occur after a certain number N of frequency steps. Hence the step sequence should obey the rule T v = v , Λ/ = -S=- , [12] n. n I step where N is an integer and T are approximately given by [5]. It would hardly be possible to derive any analytical expression for a step sequence with this property. Numerically an approximate sequence may be constructed by an algorithm which chooses frequency according to priority. The following precise principle is that each frequency step m is assigned a clock which measures the time Δr lapsed since the time t n of last transmission at this frequency. Let each clock measure this time in a scale given by the recurrence time i.e. Δr m = (f - v sin(Δ0/2) . [13] In order that no frequency should be undersampled it is required that Aτ m < 1. For each new frequency step the frequency v m for which Aτ v is maximum is conse¬ quently chosen. Figure 2 depicts generation of a step sequence according to this method. The Figure shows the 130 initial steps for a 20 - 80 MHz band and 2 MHz of step band¬ width. The sequence starts at the highest frequency which initially corresponds to the maximum value of Δr,, . Frequencies are thereafter generated in a descending sweep, e.g. m 0 = 1, m, = 2, m 2 = 3, the decent being interrupted by occasional calls on higher frequencies since Δr,, for these quickly regains maximum value after a setting to zero. Note that the second time a call is made on the highest fre¬ quency, the adjacent lower frequency will not follow immediately. In the figure 6 = 1,/77 10 = 2 for B (ot = 60 MHz and β step = 2 MHz. In the frequency list the dis¬ tance between the Λ/th generation of neighbouring frequencies will continue to in- crease as N increases. For instance the 30th passage of m = 1, m = 2 occurs at n = 570 respective n = 587 for B tot = 60 MHz and B step = 2 MHz. Finally a time t has lapsed which corresponds to N passages of 80 MHz but only N - 1 passage of 88 MHz. This situation occurs when . [14] Evidently this instant is one and the same for all frequencies and only depends on step bandwidth, i.e. Adopting [6] this may be re-expressed in the number of frequency steps after such degeneration occurs For v max = 80 MHz, v max = 20 MHz and B step = 2 MHz one has Λ/ deg * 750. At this number of steps the algorithm collapses since a conflict arises concerning priority for the transmission of different frequencies. Actually the (N - l) th generation of any frequency will not get the opportunity to pass to a time later than the Λ/th gen¬ eration of the nearest higher frequency. The algorithm thus degenerates to approximately periodic frequency sweeps rising in frequency which do not efficiently obey the requirement on frequency dependent recurrence time. Figure 3 shows the frequency steps 560 - 760 and illustrates the sequence as it approaches this degenerate case. An algorithm is required which in the steady state situation generates a signal with recurrence time linearly dependent on frequency. This can be achieved approxi¬ mately by interrupting and repeating the described finite frequency list and indefinite number of times. The sequence degenerates towards ascending sweeps as n approaches Λ/ dβg while the sequence initially yields a monotonously descending sweep. Therefore a full length sequence would overrepresent the highest frequen¬ cies. As a sequence to be repeated, look for a subset 0 « N 0 ≤ n < N « Λ/ deg of the full sequence which yields the smallest amount of undersampling across the bandwidth as the sequence is repeated. This optimisation is carried out numerically. Consider two consecutive sweeps each obtained by the discussed maximisation of Δr mn . The total list consequently includes 2(Λ , - Λ/ 0 ) elements. A/, and Λ/ 0 is chosen so that the largest values of the intervals [13] (which can be expected to occur across the joint as the sequence is repeated) are maximally equal for all fre- quencies in the adopted band. Thus Λ/, and Λ/ 0 is found as a solution to min∑ m x{Δr mn ; m n = m',0 < n < 2(/\/ 1 - Λ/ 0 )} . [17] ' We test for this optimisation all possible combinations of initial values N 0 and sequence length A , - Λ/ 0 , where Λ/, is close to Λ/ deg but still sufficiently far away that degeneration has not yet become significant. Also Λ/ 0 should be sufficiently large that frequency jumps appears stochastic. Figure 4 illustrates such a list of an opti¬ mal step frequency sequence (to be read rowwise) for 80 < Λ/ 0 < 200 and 200 ≤ N - N 0 ≤ 400 obtained at N 0 = 195 and A/, - Λ/ 0 = 393 for the 20 - 80 MHz band and 2 MHz step bandwidth. Figure 5 depicts mean (continuous) and max. and min values (dotted) for Δr,. as a function of frequency over repeated sequences and assuming 6x10 "4 s step time and 113° beam width. The optimisation minimises the variance of the max. curve. Optimal variance is 0,0146. However [13], [16] and [17] will uniquely determine such list for any choice of radar band and step band¬ width.

Claims: Claims: 1. A coherent radar system assessing the Doppler shift of the returned radar echoes, which uses a radar signal having a relative bandwidth of more than one octave and has a control unit by which the transmit-receive process is partitioned into a number of consecutive sub-processes each of which consists of transmission followed by reception of a signal having a relative bandwidth of a fraction of an octave and where the received signals from the different narrow band transmissions are used to reconstruct broad band radar data by pulse compression techniques, characterised in that the control unit is arranged to determine the recurrence time, i.e. the time lapse between two consecutive transmissions, of a narrow band signal for a certain frequency step to be approximately inversely proportional to the fre¬ quency of this step and higher or equal to the Nyquist rate with respect to the Doppler bandwidth at this frequency. 2. A radar system according to claim 1 , characterised in that it is a SAR radar system comprising a vehicle moving over a planetary surface, means to repeatedly transmit radar signals from the vehicle to the surface and means to receive the echoes of said signals in the vehicle. 3. A radar system according to claim 1 or 2, characterised in that radar returns are stored for at least the recurrence time between two transmissions of the same frequency, and that new and previous radar data are used to carry out an interpola¬ tion by which radar data g( v m ,r,Q) become a function of step frequency v m and range r for any given set of points Q along the vehicle path, irrespective of the fact that the sampling density along the vehicle is different for the different frequencies stepped through. 4. A radar system according to claim 3, characterised in that the interpolation is carried out according the linear scheme where |QP| denotes distance between any two vehicle positions, and where Q n ,Q n+N are two adjacent vehicle positions for which the same frequency in the fre¬ quency step sequence is accessed, i.e. v mn - v mn N while v Wn ≠ v mn H for m,N,N' positive integers and N' < N . 5. A radar system according to anyone of the preceding claims, characterised in that the predefined step sequence is obtained by assigning to each frequency a timing function which runs at a rate proportional to the frequency, in which the fre- quency to be selected is determined by which timer exhibits the greatest value and where each timer is set to zero for the frequency selected for transmission. 6. A radar system according to anyone of the preceding claims, characterised in that the predefined step sequence is defined as part of sequence which is selected according to the principle that, when repeated, the square sum of the maximum recurrence intervals for each frequency becomes minimum.

Inventors: HELLSTEN HANS, HELLSTEN, HANS
Applicants: HELLSTEN HANS, HELLSTEN, HANS
Application year: 1997
Main classification: G01S13
IPC codes: G01S13