I. INTRODUCTION
The increasingly congestible frequency spectrum has raised the new requirements for the dual-band service and the dual-band communication system. Targeted interference suppression and high-yield stopband rejection using finite transmission zeros (TZs) to meet the requirements is becoming one of the challenges for dual-band filter design. The controllable TZ, which is directly derived from general Chebyshev functions or other prototype filtering functions and can be placed using the filter function synthesis techniques, is defined as the synthesis-controllable TZ. Thus far, two types of basic synthesis methods, cross coupling [Reference Mokhtaari, Bornemann, Rambabu and Amari1] and source/load coupling (S–L coupling) [Reference Zhang and Zhu2], were used to introduce the synthesis-controllable TZ pair from the fully canonical single-band bandpass filters (BPFs) for the dual-band BPFs. However, it is not very suitable to implement large-separation passbands. On the other hand, when a TZ does not appear in the initial prototype filtering functions but can be excited and adjusted by using optimization procedures without significantly affecting the passband response, such TZ is defined as the optimization-controllable TZ. For dual-band filter, separately using S–L coupling or magnetic/electric mixed coupling (MEMC) (did not be synthesized) to introduce and control this type of TZs have been reported recently. By changing S–L coupling strength, all TZs are jointly adjusted as described in [Reference Zhou, Tang and Xiao3, Reference Chen, Zhao and Zhou4], and, by controlling the magnetic coupling (M-coupling) and the electric coupling (E-coupling) structures, a single pair of TZ is adjusted, as described in [Reference Chen, Qiu, Wong and Chu5]. Whereas, compared to the synthesis techniques [Reference Mokhtaari, Bornemann, Rambabu and Amari1, Reference Zhang and Zhu2], the challenge of the optimization-controllable TZ research [Reference Zhou, Tang and Xiao3–Reference Chen, Qiu, Wong and Chu5] has still laid on how to control all of the TZs and enhance the TZ controllability (independent control) in the dual-band BPF design.
In addition, many high-performance dual-band BPF have been reported in recently years. In [Reference Wu, Wang, Liang, Gao and Zhu6], a compact size and low insertion loss dual-band BPF based on spiral-line loops resonator was presented. However, TZs, center frequency, and bandwidth were not controllable, and TZs operation mechanism was not included. In [Reference Gao and Zhang7], a dual-band filter with total five TZs using multimode resonators was proposed, but the TZs could not be independently controllable. In [Reference Wei, Shi, Wang, Liao, Xu and Yang8, Reference Jiang, Shen, Zhou, Gao, Yin and Mao9] using short-circuit centered stepped impedance resonators with MEMC or 0° feeding lines with lowpass filtering structure to realize multiple TZs and a wide stopband in the dual-band BPF were demonstrated, but the compromised insertion loss and TZ control were not discussed.
In this paper, jointly using MEMC and S–L coupling in a dual-band BPF to approach two controllable TZ pairs is studied. By employing the inline mixed coupling synthesis [Reference Zhang, Zhu and Weerasekera10], a synthesis-controllable TZ pair due to MEMC is rigorously synthesized, which can be placed as desired by choosing the appropriate E/M-coupling ratio or
J/K-inverter ratio. The other controllable TZ pair, which can be adjusted by adjusting the S–L coupling strength, is verified by EM simulation. In addition, the center frequencies of the proposed filter are specified by properly selecting the high–low impedance ratio and the electric length ratio of stepped-impedance resonators (SIRs), as discussed in [Reference Makimoto and Yamashita11]. For validation, two filters operating at 0.9/1.8 GHz (GSM band) with different central TZ pair (synthesis-controllable TZ pair) distribution are implemented and measured. The experimental results validate the analysis and also exhibit the TZ shifting feature.
II. EQUIVALENT CIRCUIT AND TZS ANALYSIS
As shown in Fig. 1, the proposed filter consists of two coupled λ/4 SIRs with a high/low-impedance section and two shorted feeding lines. Two common grounding vias R 0 and R 1, and a high-impedance line l s behave as an M-coupling inductance L s as well as a part of K-inverter. The high-impedance parallel coupling lines with a length of l c and adjacent spacing of g c are treated as a parallel-resonant tank as well as a part of J-inverter. Additionally, the shorted feeding lines with a length of l sl and adjacent spacing of g sl construct the S–L coupling. The coupling diagram is shown in Fig. 2(a).
The coupling mechanism between two SIRs is illustrated in Figs 2(b) and 2(c). Under the resonant condition [Reference Makimoto and Yamashita11] and the pressed values, θ l = θ h = θ 0, Z h = R z Zl = R z Z 0, the coupling coefficient k and Y 21 in the admittance matrix can be expressed as
where ω o and ω e respectively denote the odd- and even-mode resonant angular frequency. E-coupling E 12 and M-coupling M 12 are expressed by J g /b, and K s /x. Herein, b and x are derived from (3) and (4). B and X indicate the input susceptance and reactance, respectively. M-coupling is dominant when K s /x > J g /b and E-coupling is dominant when K s /x < J g /b.
By substituting (1) into (2), the relationship between Y 21 and K s with a constant total coupling coefficient k can be obtained. In other words, we can choose a different pair of J g and K s resulting in different Y 21 while keeping the passbands unchanged. Figure 3 depicts the graphs of the admittance for center frequency f 0 = 0.9 GHz (band 1), k = 0.046, and f 0 = 1.8 GHz (band 2), k = 0.057 with K s ranged from 1 to 25 when R z = 3, θ 0 = π/3 and Z 0 = 30 Ω are set. It can be found a pair of TZs (imag(Y 21) = 0) emerge when K s = 1.5 for band 1 and K s = 3.6 for band 2, and then split afterward. Furthermore, when K s > 8 for band 1 or K s > 12 for band 2 is defined, f z2 < f r1 and f z3 > f r2 can be observed (f r1 and f r2 are self-resonant frequencies), which means, that f z2 shifts to the lower side of the first band and f z3 shifts to the upper side of the second band, respectively. Hence, the central pair of TZs (f z2, f z3) are simultaneously synthesized. Noted herein, since the coupling coefficients are frequency dependent in this graph, the fact that f z2 and f z3 are respectively synthesized using the first-band coefficient and the second-band coefficient, are used for the more precise TZ pair synthesis.
For the quantitative analysis, Rogers RO5880 substrate (ε r = 2.2) with a thickness of 0.508 mm is utilized as the dielectric and commercial software ANSYS HFSS is employed for calculation. Figure 4 plots the extracted design Q e graph for two bands.
In order to get the smaller inductive K-inverter, two larger vias are employed instead of the small one, as shown in Fig. 5(a). In addition, the capacitive J-inverter is realized with the parallel coupled line, as given in Fig. 5(b)
The impacts to two band couplings, which are induced by M-coupling perturbation and exerting on the total coupling coefficients k, are depicted in Fig. 6(a). When k changes from the negative value (E-coupling) to the positive one (M-coupling), the TZ (f z2 or f z3) and the odd mode (for two bands) shift from one side of the passband to the other. Figure 6(b) plots extracted K and J from different coupling structures with different physical dimensions.
On the other hand, adding S–L coupling introduces two optimization-controllable TZs (f z1, f z4) which are simultaneously controlled by the coupling strength (l ls and g ls ) with a small impact on the other pair of TZs, as shown in Fig. 7. It is noted that when f z2 is higher than f z4, or f z3 is lower than f z1, the associated TZ pair will disappear. As a result, when f z3 shifts to the other side of passband the first passband and two TZs will be canceled, due to different coupling coefficients for bands 1 and 2.
III. FILTER DESIGN AND MEASUREMENT
Based on the analysis in Section II, two demonstrative dual-band BPF are designed. In filter A, two pairs of TZs are distributed at two sides of the passbands; in filter B, f z2 is redistributed from the upper stopband to the lower stopband of band 1, while f z3 is shifted closer to the passband of band 2. The center frequencies and the fractional bandwidths (FBWs) both for filters A and B are f 01 = 0.9 GHz, f 02 = 1.8 GHz, FBW1 = 6.67%, and dependent FBW2 = 8% (based on Q e2), respectively. Thus, Q e1 = 23.5, dependent Q e2 = 18.9 (based on Fig. 4), k 1 = 0.046, and dependent k 2 = 0.057 (based on Fig. 6(a)) can be attained according to a second-order Chebyshev filter with first band return loss (RL) = 23 dB [Reference Makimoto and Yamashita11]. Besides, S–L coupling coefficients, k sl1 = k sl2 ≈ 0.0002 for both filters A and B, are optimized as [Reference Makimoto and Yamashita11]. The synthesized J/K-invertors, K 1A = 1.48 (f z2A ≈ 1.3 GHz), J 1A = 0.0002 K 2A = 6 (f z3A ≈ 1.6 GHz), J 2A = 0.0009, K 1B = 7.18 (f z2B ≈ 0.8 GHz), J 1B = 0.021, K 2B = 13.68 (f z3B ≈ 1.75 GHz), and J 2B = 0.037, are used according to (2).
The design procedures can be summarized as follow: at first, the initial dimensions of the SIRs are selected based upon [Reference Zhang, Zhu and Weerasekera10]: Impedance ratio R z = 3 and electric length ratio α = 0.5. Q e1 and Q e2 can be extracted using the method reported in [Reference Makimoto and Yamashita11] for the desired center frequencies. Secondly, K, J, and k versus different g c and l s (or R 0) can be extracted using (3) based on the desired first passband, the dependent second passband requirements and central pair of TZs distributions, as depicted in Fig. 5. Then, S–L coupling is added and plotted as Fig. 6 to slightly adjust the central TZs and introduce the other TZ pair. Finally, the filter is optimized by ANSYS HFSS.
The dimensions of filter A are: (all in mm) W t0 = 1.54, W t = 0.2, W high = 0.2, W low = 3.1, W 0 = 1.6, W 1 = 2.8, W 2 = 0.8, l t0 = 5, l t = 27.42, l high = 43.12, l low = 43.02, R 0 = 0.7, R 1 = 0.9, R 2 = 0.3, l s = −1, l c = 15.8, l sl = 0.9, gio = 0.11, g sl = 0.2, and g c = 0.4. The overall size of the filter A is 0.23λ g × 0.09λ g , where λ g denotes the guided wavelength at first-band center frequency. The dimensions of filter B are the same as those of filter A, except for W high = 0.1, l high = 37.925, l low = 41.5, l c = 15.9, R 0 = 0.2, R 1 = 0, g c = 0.15, l sl = 2, and l s = 0.6. The overall size of the filter B is 0.21λ g × 0.09λ g . Small changes of W high , lhigh , and l low are made for maintaining the center frequencies and bandwidths.
Figure 8 shows the simulated and the measured results of filters A and B with their photographs. Good agreements between the two filters are observed. Both filters have the same center frequencies and FBW, while the distribution of the central TZs (i.e., f z2 and f z3) are remarkably different. The center frequencies, insertion losses and FBWs are 0.92/1.8 GHz, 1.8/2.3 dB, and 6.3/7.3% for filter A, and 0.94/1.86 GHz, 1.9/2.1 dB and 7.1/8.6% for filter B, respectively. There are four TZs, f z1A = 0.6 GHz, f z2A = 1.1 GHz, f z3A = 1.3 GHz, and f z4A = 2.3 GHz for filter A, and f z1B = 0.6 GHz, f z2B = 0.8 GHz, f z3B = 1.6 GHz, and f z4B = 2.4 GHz for filter B. Compared with the synthesized TZ frequencies, f z2A ≈ 1.3 GHz, f z3A ≈ 1.6 GHz for filter A, f z2B ≈ 0.8 GHz and f z3B ≈ 1.75 GHz for filter B, the measured results are very close to them. The deviation is mainly due to the S–L coupling loading, center frequency shifting, and other parasitic effects.
Table 1 compares the measurement results of some reported high-performance dual-band filter study with those of the proposed work. IL, RL, size, and selectivity of the present study are almost as good as prior works, whereas a pair of optimization-controllable TZ and a pair of synthesis-controllable TZ provide more design freedom for the dual-band passband filter design.
IV. CONCLUSION
A novel dual-band BPF with two pairs of controllable TZs has been demonstrated. The synthesis method and adjustment mechanism of the controllable TZ pairs have been mathematically studied and experimentally verified. The filter is constructed by two SIR, MEMC, and S–L coupling, which are utilized to control the center frequencies and two TZ pairs. The admittance graph, derived from coupling coefficient formula, has been employed to mathematically validate the controllability of a TZ pair. The EM simulation has been carried out to verify the controllability of the other TZ pair. Two demonstrative filters with different central TZs distributions and the identical passband performance have been designed. Good agreement between simulation and measurement as well as synthesized TZs consolidate the analysis.
ACKNOWLEDGEMENT
The authors would like to express our sincere thanks to the editors and reviewers of this paper's manuscript for their constructive comments and suggestions, which greatly improved the quality of this paper. The first author Di also thanks Professor Barker in the University of Virginia for his helpful suggestions.
Di Lu was born in Yunnan Province, China, in 1987. He received the B.S. degree in Electronic Engineering School from Chengdu University of Information and Technology (CUIT), China, in 2013. He now is pursuing toward the Ph.D. in University of Science and Technology of China (UESTC). Since October 2015, he has been a Visiting Student with the University of Virginia (UVA). His main research interests are design microwave filters, tunable filters, frequency multipliers, mixers, millimeter-wave circuits, and RF MEMS.
Teng-fei Yan is a Ph.D. student in the Institute of Electronic Engineering, UESTC, from 2012. He is now as a researcher in the Shenzhen Key Laboratory of Millimeter-wave and Wideband Wireless Communications, City University of Hong Kong Shenzhen Research Institute, Shenzhen.
Xiao-hong Tang received B.S. and Ph.D. degrees in Electromagnetism and Microwave technology in UESTC. Now he is a Professor in UESTC. He has authored more than 100 journal and conference papers. He was also the recipient of several national and provincial awards. His research interests include microwave and millimeter communication, computational electromagnetics, etc.