# Optimum Design of Novel UWB Multilayer Microstrip Hairpin Filters with Harmonic Suppression and Impedance Matching

Authors: Homayoon Oraizi; Nima Azadi-Tinat
Journal: International Journal of Antennas and Propagation
 (2012)

---

## Abstract

Optimum design of a novel ultra-wideband multilayer microstrip hairpin filter is presented, providing for harmonic suppression and impedance matching between source and load impedances. The theory of N-coupled transmission lines is employed to obtain an equivalent circuit for development of a design procedure based on the method of least squares. A prototype model of proposed two-layer filter of order 5 is fabricated for 3.1–10.6 GHz. The dimensions of designed filter are 23 mm × 7 mm. The insertion loss in the passband varies from 0.3 dB to 3 dB (in the worst case at the edge of passband) and in the stopband is about 30 dB up to 20 GHz. Its group delay in the UWB region is about 0.5 ns. Close agreement among the filter frequency responses as obtained by the proposed method, full-wave computer simulation softwares, and measurement data verify the effectiveness of the proposed filter structure and design methods.


---

## Body

## 1. Introduction

In the year 2002, the USA Federal Communications Commission (FCC) allocated the frequency band 3.1–10.6 GHz to the ultra wideband (UWB) commercial applications [1]. In recent years, UWB technology has been applied to various communication and radar systems. Accordingly, considerable efforts have been spent in the investigation for the development and realization of various UWB configurations and structures [2–10].The microstrip hairpin filters have been extensively used in microwave circuits due to their low weight, simple configuration, and ease of design and implementation [11–13]. However, they are not suitable for UWB single layer planar applications, since the coupled strip edges of resonators need to be very close, which may not be realizable by available photolithography technology. On the other hand, if the same hairpin filter is designed on a two-layer configuration, then the required coupling is obtained conveniently, since the edge coupling is replaced by broad side coupling through the substrate with fixed height.Since the hairpin filter structure uses coupled lines, its stopband exhibits extraneous spurious response. In order to remove such responses, we place open-ended stubs between the coupled strips to considerably reduce the filter response in the stopband.In this paper, we introduce a two-layer hairpin filter configuration for UWB applications, which removes the spurious response in its stopband through the connection of open-ended stub. An equivalent circuit is derived for it, which is used to develop a design procedure based on the method of least squares, which determines the optimum filter geometrical dimensions. A two-layer hairpin filter is designed and fabricated. The measurement data and full-wave simulation results verify the performance of proposed hairpin filter configuration and optimum design method.


## 2. Design Procedure

An N-section two layer microstrip hairpin filter configuration is depicted in Figure1, which is composed of parallel coupled line sections joined by strips having open-ended stubs. The input and output ports are connected to the U-shaped strips at the two ends of the filter. Its equivalent circuit is shown in Figure 2, which is composed of straight strips, bends, T-junctions, and coupled lines. The transmission matrices of bends and T-junctions are obtained in Appendix A. The impedance matrix of the four port network of a pair of coupled lines [Z]4×4 is first obtained [14]. The impedance matrix of the two port network [Z]2×2 is then determined by open circuiting its two ports. Finally, the transmission matrix of the two port coupled-lines [TC]2×2 is derived.Figure 1
Schematic diagram of proposed multilayer microstrip hairpin filter.Figure 2
The equivalent circuit of hairpin filter shown in Figure1.Consequently, the transmission matrices of the filter network are composed of [Ts1] for the line section at the input, [Tm]i for the section joining the two consecutive coupled lines, [Tc]i for the coupled lines and [Tt1] for the line section at the output. The transmission matrix of this part of the multisection two-layer hairpin filter is then
(1)[T′]=[Ts1](∏i=1N-1[Tm]i[TC]i)[Tm]N[Tt1].We now convert it to its equivalent impedance matrix as(2)[VSVL]=[Z′][I1I1′].Referring to Figure2, we observe the following relations for the currents at the input and output ports:
(3)IS=IB+I1=jYs2tan(βs2s2)VS+I1,IL=IB′+I1′=jYt2tan(βt2t2)VL+I1,
which may be used in (2) to obtain the whole impedance matrix of the filter as
(4)[VSVL]=[Zio][ISIL],
where
(5)[Zio]=([U]-[Z′][jYs2tan(βs2s2)00jYt2tan(βt2t2)])-1[Z′].Finally, the overall transmission matrix of the filter may be obtained to determine its scattering parameters as the insertion loss (s21) and return loss (s11)
(6)s21,k=2Ak+BkYl,k+CZs,k+DkZs,kYl,k,(7)s11,k=Ak-BkYl,k+CZs,k-DkZs,kYl,kAk+BkYl,k+CZs,k+DkZs,kYl,k.They may be expressed(8)ILk=-20log(|s21,k|),(9)RLk=-20log(|s11,k|),
where the subscript k indicates the kth frequency in the specified frequency bandwidth and ZS and YL are the source impedance and load admittance, respectively.We now specify the desired frequency response of the filter as shown in Figure3, which is composed of the lower stop and transition bands, passband, and upper transition and stop bands. The frequency limits of these bands and their levels are indicated in Figure 3.Figure 3
Specified frequency response of the bandpass filter.We then construct an error function as(10)e=wt1∑k=1nSL(ILk-ILSBk)2+wt2∑k=nSLnPL(ILk-gTL(fk))2+wt3∑k=nPLnPU(ILk-ILPBk)2+wt4∑k=nPUnSU(ILk-gTU(fk))2+wt5∑k=nSUK(ILk-ILSBk)2,
where the specified frequency band is divided into K discrete frequencies, ILSB and ILPB are the desired insertion losses in the stop and pass bands, and gTL(fk) and gTU(fk) are the linear functions in the lower and upper transition bands, respectively which join the stop and pass bands, and wti are the weighting functions which enhance the effect of different bands relative to each other.The selection of the values of weighting functions (wti) may be made on the basis of some experience and experimentation with the algorithm. Their relative values may place some emphasis on the various sections of the response. For example, if the satisfaction of the response in the passband is of more interest, then the value of weighting function of its term in the error function is made relatively larger. Furthermore, the values of the terms in error function may be considered at various iterations of the algorithm and the values of weighting function may be adjusted accordingly.The error function depends on the geometrical dimensions of the filter (such as the widths and length of strips and gaps between strips) as shown in Figure1, which may be determined by its minimization carried out by Fmincon () function in MATLAB [15].The initial values of the dimensions of hairpin filter are selected with reference to Figure1, namely,
(11)Li=ai,1+li,1=λg4=λ04εeff,
where εeff is the effective dielectric constant of the substrate. Furthermore, the best ratio of li,1 to ai,1 is obtained to be about 2.5. The width of stripline sections are all set equal to 1 mm, which give a characteristic impedance of about 62Ω (for the effective dielectric constant of the forthcoming design example consisting of two different substrate layers). The widths could be made variable too, but the CPU time for the filter design would have increased considerably. The value of the stub lengths (di) is selected to produce a transmission zero at about 12 GHz (see Appendix B). As the optimization process proceeds, the transmission zeros will move in such a way as to suppress the harmonic responses. The connection point of the input and output lines to the filter are selected in the ratio of [13] as follows:
(12)s1s2=t1t2=0.5.The minimization procedure for the error function may be conducted by the combination of genetic algorithm (GA) and conjugate gradient method (CG) in MATLAB. GA is first started which is a global minimum seeking algorithm and may not need initial values, but it is CPU time consuming. Observe that GA selects the lowest minimum point among several minimum points. (We employ the following default options of MATLAB GA: mutationgaussian and crossover = 0.8. We impose some constraints on the parameter values, namely, the lower constraint values (Lb) are zero and the upper constraint values (Ub) are three times the selected initial values, as described above). It is then aborted and CG takes over, which is a local minimum seeking algorithm needing initial values, but it is relatively fast. CG proceeds until some specified criterion is satisfied, such as the value or slopes of error function or a specified maximum number of iterations of the algorithm. Observe that it is not feasible to locate the absolute minimum of the complicated error function. Such a procedure is very costly and time consuming and its benefits for obtaining the most optimum performance of filter is doubtful.The strongest couplings in the multilayer structure for the best passband response are achieved for the case where the adjacent strips are exactly above each other, without any relative displacement.


## 3. Design Examples

Two examples of filter design are provided. The first example is for different source and load impedances, namely, 45 Ω and 100 Ω, respectively. The second example is for the same input and output impedances, namely, 50 Ω. For both examples, the lower substrate is RO4003 (withεr=3.55, height h=0.508mm and tanδ=0.0027). The upper substrate is RO5880 (with εr=2.2, height h=0.127 mm and tanδ=0.0009).The filter design specifications indicated in the filter frequency response in Figure3 are given in Table 1 for both examples.Table 1
Filter design specifications for Examples1 and 2.
K
n
s
l
n
p
l
n
p
u
n
s
u
f
l
f
s
l
f
p
l
f
p
u
f
s
u
f
u
ILSB
l
ILPB
u
ILSB
u (Example 1)
ILSB
u (Example 2)
140
10
20
120
140
1 GHz
2 GHz
3.1 GHz
10.6 GHz
12 GHz
20 GHz
30 dB
0.1 dB
40 dB
30 dBExample 1.
Consider the layout of the UWB two-layer hairpin filter shown in Figure4, where the geometrical dimensions are indicated. The initial values of the filter dimensions are given in Table 2. The source and load impedances are ZS=45Ω and ZL=100Ω. The frequency responses of the filter as insertion loss (s21) and return loss (s11) obtained by our proposed design procedure, HFSS and IE3D full-wave simulation softwares [16, 17] are shown in Figure 5 for comparison. Furthermore, the group delay of the designed filter is obtained by HFSS and IE3D softwares and drawn in Figure 6. Observe that group delay is quite constant in the specified bandwidth 3.1–10.6 GHz.Table 2
Parameters of designed proposed multilayered microstrip hairpin  filter (Example1).
N
=
5, ILSB = 40 dB, ILPB = 0.1 dB, UWB, Zs = 45 Ω,
Z
l = 100 Ω, wi = 1 mm, ai,1 = ai,2 and li,2 = li+1,1
Initial value
Design and optimization
a
1,1 = 2 mm
a
1,1 = 1.55 mm
a
2,1 = 2 mm
a
2,1 = 2.00 mm
a
3,1 = 2 mm
a
3,1 = 3.00 mm
a
4,1 = 2 mm
a
4,1 = 1.05 mm
a
5,1 = 2 mm
a
5,1 = 4.00 mm
d
1 = 3 mm
d
1 = 2.15 mm
d
2 = 3 mm
d
2 = 1.87 mm
d
3 = 3 mm
d
3 = 2.95 mm
d
4 = 3 mm
d
4 = 2.47 mm
d
5 = 3 mm
d
5 = 2.00 mm
s
1 = 1 mm
s
1 = 0.80 mm
s
2 = 2 mm
s
2 = 2.40 mm
t
1 = 1 mm
t
1 = 1.95 mm
t
2 = 2 mm
t
2 = 1.06 mm
l
1,2 = 5 mm
l
1,2 = 6.72 mm
l
2,2 = 5 mm
l
2
,
2 = 5.89 mm
l
3,2 = 5 mm
l
3,2 = 6.27 mm
l
4,2 = 5 mm
l
4,2 = 5.81 mmFigure 4
Schematic of the proposed multilayered microstrip hairpin filter.Figure 5
Comparison of the frequency response of proposed multilayered microstrip hairpin filter as obtained by the simulation softwares (IE3D and HFSS) and those predicted by MATLAB (Example1).Figure 6
Comparison of the group delay of example 3 as obtained by the simulation softwares (HFSS and IE3D) (Example1).Example 2.
Consider the layout of the UWB two layer hairpin filter shown in Figure7, where the geometrical dimensions are indicated. The initial values of the filter dimensions are given in Table 3. The source and load impedance are ZS=ZL=50Ω. A photograph of the fabricated hairpin filter is shown in Figure 8. The frequency response of the filter as insertion loss (s21) and return loss (s11) obtained by our proposed design procedure, HFSS and IE3D full-wave simulation softwares [16, 17] and measurement data are shown in Figure 9 for comparison. Furthermore, the group delay of the designed filter is obtained by the HFSS and IE3D softwares and drawn in Figure 10. Observe that group delay is quite constant in the specified bandwidth 3.1–10.6 GHz. The simulation results and measurement data do not exactly coincide, especially at higher frequencies due to the imperfect available fabrication technology. Furthermore, the heat generated during the process of soldering connectors, gives rise to air bubbles between the two layers, which eventually increases losses.Table 3
Parameters of designed proposed multilayered microstrip hairpin  filter (Example2).
N
=
5, ILSB = 30 dB, ILPB = 0.1 dB, UWB, Zs  = 50 Ω,
Z
l  = 50 Ω, wti  = 1, ai,1 = ai,2 and li,2 = li+1,1
Initial value
Design and optimization
a
1,1 = 2 mm
a
1,1 = 1.83 mm
a
2,1 = 2 mm
a
2,1 = 0.72 mm
a
3,1 = 2 mm
a
3,1 = 0.60 mm
a
4,1 = 2 mm
a
4,1 = 1.00 mm
a
5,1 = 2 mm
a
5,1 = 1.18 mm
d
1 = 3 mm
d
1 = 2.64 mm
d
2 = 3 mm
d
2 = 2.53 mm
d
3 = 3 mm
d
3 = 0.10 mm
d
4 = 3 mm
d
4 = 2.36 mm
d
5 = 3 mm
d
5 = 1.11 mm
s
1 = 1 mm
s
1 = 1.18 mm
s
2 = 2 mm
s
2 = 1.86 mm
t
1 = 1 mm
t
1 = 1.06 mm
t
2 = 2 mm
t
2 = 2.38 mm
l
1,2 = 5 mm
l
1,2 = 6.87 mm
l
2,2 = 5 mm
l
2,2 = 5.43 mm
l
3,2 = 5 mm
l
3,2 = 5.44 mm
l
4,2 = 5 mm
l
4,2 = 5.31 mm
w
i = 1 mm
w
i = 1 mmFigure 7
Schematic of the proposed multilayered microstrip hairpin filter.Figure 8
The photograph of the fabricated filter.Figure 9
Comparison of the frequency response of proposed multilayered microstrip hairpin filter as obtained by the simulation softwares (IE3D and HFSS) and measurement data and those predicted by MATLAB (Example2).Figure 10
Comparison of the group delay of example 3 as obtained by the simulation softwares (IE3D and HFSS) and measurement data (Example2).


## 4. Conclusion

A multilayer microstrip hairpin bandpass filter with the capability of effective suppression of spurious response is presented together with an optimum design procedure based on the theory of N-coupled transmission line and method of least squares. For the verification of the proposed hairpin filter structure and design procedure, a two-layer microstrip filter of order 5 was designed, fabricated, and tested by measurement and full-wave simulation, with favorable and supporting results. The couplings obtained among the layers and provision of open-circuited stubs inside the filter structure provide the capability of obtaining UWB response, deep stop bands, and realization of the function of impedance matching by the filter configuration. The frequency response of the proposed two-layer filter is superior to that of a two-layer filter in [8] and its size is about 20% smaller. Example 2 designed here for a two-layer filter provides a frequency response comparable to the filter in [7]. However, Example 1 designed here for different source and load impedance has superior characteristics, particularly in the stopband.



---

*Source: 762790-2012-09-20.xml*