Synthesis and Design of 5G Duplexer Based on Optimization Method

doi:10.12142/ZTECOM.202203009

ZTE Communications ›› 2022, Vol. 20 ›› Issue (3): 70-76.DOI: 10.12142/ZTECOM.202203009

• Research Paper • Previous Articles Next Articles

Synthesis and Design of 5G Duplexer Based on Optimization Method

WU Qingqiang¹, CHEN Jianzhong¹(), WU Zengqiang², GONG Hongwei²

^1.National Key Laboratory of Antennas and Microwave Technology, Shaanxi Joint key Laboratory of Graphene, Xidian University, Xi'an 710071, China
^2.ZTE Corporation, Shenzhen 518057, China

Received:2021-10-21 Online:2022-09-13 Published:2022-09-14
About author:WU Qingqiang received his BS degree in electromagnetic field and wireless technology and MS degree in electronic science and technology from Xidian University, China in 2019 and 2022, respectively. He joined ZTE Corporation in 2022 after graduation,. During his postgraduate study, he mainly engaged in the research related to filters in the National Key Laboratory of Antennas and Microwave Technology at Xidian University, and participated in the publication of papers in academic journals and international conferences and completed a number of filter related projects. In addition, he won the first-class scholarship of the university for many times, and won the second prize of northwest division in the 15th China Graduate Electronic Design Competition.|CHEN Jianzhong (jianzhong.chen@xidian.edu.cn) received his BE degree in information engineering from Xi’an Jiaotong University, China in 2007 and the PhD degree in microwave technology from Xidian University, China in 2013. Currently, he is working with the Key Laboratory of Antennas and Microwave Technology at Xidian University as a professor. His research interests include electromagnetic compatibility, design of antennas, and microwave circuits.|WU Zengqiang received his BE degree and MS degree in microwave technology from Xidian University, China in 2015 and 2018, respectively. Currently, he is an RF engineer in ZTE Corporation. His research interests include microwave engineering design, modeling, and optimization.|GONG Hongwei joined ZTE Corporation as an RF&MW filter design director in 2015. He was in charge of all the RF filter design in ZTE and has made excellent progress in this domain. His research interests include electromagnetic compatibility, optimization and microwave device design.
Supported by:
the National Natural Science Foundation of China (NSFC) under project(62071357);the Fundamental Research Funds for the Central Universities

Abstract

Abstract:

A new optimization method is proposed to realize the synthesis of duplexers. The traditional optimization method takes all the variables of the duplexer into account, resulting in too many variables to be optimized when the order of the duplexer is too high, so it is not easy to fall into the local solution. In order to solve this problem, a new optimization strategy is proposed in this paper, that is, two-channel filters are optimized separately, which can reduce the number of optimization variables and greatly reduce the probability of results falling into local solutions. The optimization method combines the self-adaptive differential evolution algorithm (SADE) with the Levenberg-Marquardt (LM) algorithm to get a global solution more easily and accelerate the optimization speed. To verify its practical value, we design a 5G duplexer based on the proposed method. The duplexer has a large external coupling, and how to achieve a feed structure with a large coupling bandwidth at the source is also discussed. The experimental results show that the proposed optimization method can realize the synthesis of higher- order duplexers compared with the traditional methods.

Key words: optimization, self-adaptive differential evolution algorithm, LM optimization algorithm, filter synthesis, duplexer

WU Qingqiang, CHEN Jianzhong, WU Zengqiang, GONG Hongwei. Synthesis and Design of 5G Duplexer Based on Optimization Method[J]. ZTE Communications, 2022, 20(3): 70-76.

Figures/Tables 11

References 12

1	RHODES J D, LEVY R. A generalized multiplexer theory [J]. IEEE transactions on microwave theory and techniques, 1979, 27(2): 99–111. DOI: 10.1109/tmtt.1979.1129570 DOI
2	RHODES J D, LEVY R. Design of general manifold multiplexers [J]. IEEE transactions on microwave theory and techniques, 1979, 27(2): 111–123. DOI: 10.1109/ tmtt.1979.1129571 DOI
3	MACCHIARELLA G, TAMIAZZO S. Novel approach to the synthesis of microwave duplexers [J]. IEEE transactions on microwave theory and techniques, 2006, 54(12): 4281–4290. DOI: 10.1109/TMTT.2006.885909 DOI
4	MENG H, WU K L. Direct optimal synthesis of a microwave bandpass filter with general loading effect [J]. IEEE transactions on microwave theory and techniques, 2013, 61(7): 2566–2573. DOI: 10.1109/TMTT.2013.2264682 DOI
5	ZHAO P, WU K L. An analytical approach to synthesis of duplexers with an optimal lumped-element junction model [C]//2014 IEEE MTT-S international microwave symposium (IMS2014). IEEE, 2014: 1–3. DOI: 10.1109/MWSYM.2014.6848399 DOI
6	ZHAO P, WU K L. An iterative and analytical approach to optimal synthesis of a multiplexer with a star-junction [J]. IEEE transactions on microwave theory and techniques, 2014, 62(12): 3362–3369. DOI: 10.1109/TMTT.2014.2364222 DOI
7	LIU B, YANG H, LANCASTER M J. Synthesis of coupling matrix for duplexers based on a self-adaptive differential evolution algorithm [J]. IEEE transactions on microwave theory and techniques, 2018, 66(2): 813–821. DOI: 10.1109/tmtt.2017.2772855Jan. 2018 . DOI
8	YU Y, LIU B, WANG Y, et al. A general coupling matrix synthesis method for all-resonator duplexers and multiplexers [J]. IEEE transactions on microwave theory and techniques, 2020, 68(3): 987–999. DOI: 10.1109/TMTT.2019.2957430 DOI
9	SKAIK T F, LANCASTER M J, HUANG F. Synthesis of multiple output coupled resonator circuits using coupling matrix optimisation [J]. IET microwaves, antennas & propagation, 2011, 5(9): 1081. DOI: 10.1049/iet-map.2010.0447 DOI
10	XIA W L. Duplexers and multiplexers design by using coupling matrix optimization [D]. Birmingham, U.K.: Birmingham University, 2015
11	CAMERON R J, KUDSIA C M, MANSOUR R R. Microwave filters for communication systems [M]. Hoboken, USA: John Wiley & Sons, Inc., 2018. DOI: 10.1002/9781119292371 DOI
12	MATLAB. MATLAB optimization toolbox. user’s guide [EB/OL]. (2018-05-12)[2021-09-18].

Passbard Range/MHz	Return Loss/dB
1 710–1 785	-17
1 920–1 980	-17

Passbard Range/MHz	Return Loss/dB
1 710–1 785	-17
1 920–1 980	-17

	Initial	First	Second	Final
M(s,0)	1.400 0	1.388 4	1.374 2	1.391 0
M(0,1)	0.658 7	0.704 4	0.690 8	0.673 1
M(0,10)	0.658 7	0.644 9	0.651 8	0.584 2
M(9,L1)	0.501 3	0.517 4	0.517 4	0.501 3
M(16,L2)	0.427 2	0.427 2	0.428 7	0.427 2
M(1,1)	0.708 9	0.661 7	0.661 7	0.656 5
M(1,2)	0.225 4	0.224 5	0.224 5	0.211 1
M(2,2)	0.709 1	0.704 7	0.704 7	0.703 4
M(2,3)	0.092 4	0.091 3	0.091 3	0.092 4
M(2,4)	-0.139 8	-0.145 1	-0.145 1	-0.139 3
M(3,3)	0.490 6	0.478 2	0.478 2	0.489 8
M(3,5)	0.083 2	0.080 0	0.080 0	0.083 0
M(4,4)	0.805 4	0.798 5	0.798 5	0.804 0
M(4,5)	0.130 9	0.137 2	0.137 2	0.131 0
M(5,5)	0.712 8	0.715 2	0.715 2	0.712 5
M(5,6)	0.155 1	0.158 3	0.158 3	0.155 5
M(6,6)	0.714 1	0.717 4	0.717 4	0.714 0
M(6,7)	0.086 5	0.084 8	0.084 8	0.086 5
M(6,8)	0.132 2	0.139 3	0.139 3	0.132 1
M(7,7)	0.489 3	0.476 9	0.476 9	0.489 2
M(7,9)	-0.131 4	-0.133 2	-0.133 2	-0.132 0
M(8,8)	0.822 1	0.821 4	0.821 4	0.822 0
M(8,9)	0.183 1	0.190 8	0.190 8	0.183 2
M(9,9)	0.709 3	0.704 9	0.704 9	0.708 7
M(10,10)	-0.790 9	-0.790 9	-0.743 2	-0.748 4
M(10,11)	0.163 8	0.163 8	0.178 5	0.155 9
M(11,11)	-0.791 1	-0.791 1	-0.790 2	-0.787 7
M(11,12)	0.122 2	0.122 2	0.130 5	0.122 0
M(12,12)	-0.791 6	-0.791 6	-0.792 7	-0.790 8
M(12,13)	0.070 7	0.070 7	0.071 7	0.092 0
M(12,14)	-0.091 9	-0.091 9	-0.097 2	0.070 7
M(13,13)	-0.647 5	-0.647 5	-0.642 7	-0.647 3
M(13,15)	0.075 1	0.075 1	0.077 3	0.075 0
M(14,14)	-0.879 1	-0.879 1	-0.884 2	-0.878 9
M(14,15)	0.096 3	0.096 3	0.107 9	0.096 35
M(15,15)	-0.791 1	-0.791 1	-0.793 5	-0.791 0
M(15,16)	0.163 8	0.163 8	0.170 4	0.163 8
M(16,16)	-0.791 0	-0.791 0	-0.783 5	-0.790 8

	Initial	First	Second	Final
M(s,0)	1.400 0	1.388 4	1.374 2	1.391 0
M(0,1)	0.658 7	0.704 4	0.690 8	0.673 1
M(0,10)	0.658 7	0.644 9	0.651 8	0.584 2
M(9,L1)	0.501 3	0.517 4	0.517 4	0.501 3
M(16,L2)	0.427 2	0.427 2	0.428 7	0.427 2
M(1,1)	0.708 9	0.661 7	0.661 7	0.656 5
M(1,2)	0.225 4	0.224 5	0.224 5	0.211 1
M(2,2)	0.709 1	0.704 7	0.704 7	0.703 4
M(2,3)	0.092 4	0.091 3	0.091 3	0.092 4
M(2,4)	-0.139 8	-0.145 1	-0.145 1	-0.139 3
M(3,3)	0.490 6	0.478 2	0.478 2	0.489 8
M(3,5)	0.083 2	0.080 0	0.080 0	0.083 0
M(4,4)	0.805 4	0.798 5	0.798 5	0.804 0
M(4,5)	0.130 9	0.137 2	0.137 2	0.131 0
M(5,5)	0.712 8	0.715 2	0.715 2	0.712 5
M(5,6)	0.155 1	0.158 3	0.158 3	0.155 5
M(6,6)	0.714 1	0.717 4	0.717 4	0.714 0
M(6,7)	0.086 5	0.084 8	0.084 8	0.086 5
M(6,8)	0.132 2	0.139 3	0.139 3	0.132 1
M(7,7)	0.489 3	0.476 9	0.476 9	0.489 2
M(7,9)	-0.131 4	-0.133 2	-0.133 2	-0.132 0
M(8,8)	0.822 1	0.821 4	0.821 4	0.822 0
M(8,9)	0.183 1	0.190 8	0.190 8	0.183 2
M(9,9)	0.709 3	0.704 9	0.704 9	0.708 7
M(10,10)	-0.790 9	-0.790 9	-0.743 2	-0.748 4
M(10,11)	0.163 8	0.163 8	0.178 5	0.155 9
M(11,11)	-0.791 1	-0.791 1	-0.790 2	-0.787 7
M(11,12)	0.122 2	0.122 2	0.130 5	0.122 0
M(12,12)	-0.791 6	-0.791 6	-0.792 7	-0.790 8
M(12,13)	0.070 7	0.070 7	0.071 7	0.092 0
M(12,14)	-0.091 9	-0.091 9	-0.097 2	0.070 7
M(13,13)	-0.647 5	-0.647 5	-0.642 7	-0.647 3
M(13,15)	0.075 1	0.075 1	0.077 3	0.075 0
M(14,14)	-0.879 1	-0.879 1	-0.884 2	-0.878 9
M(14,15)	0.096 3	0.096 3	0.107 9	0.096 35
M(15,15)	-0.791 1	-0.791 1	-0.793 5	-0.791 0
M(15,16)	0.163 8	0.163 8	0.170 4	0.163 8
M(16,16)	-0.791 0	-0.791 0	-0.783 5	-0.790 8

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Synthesis and Design of 5G Duplexer Based on Optimization Method

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