Improved adaptive impedance matching for RF front-end systems of wireless transceivers

被引：62
|
作者：
Alibakhshikenari, Mohammad [1 ]
Virdee, Bal S. [2 ]
Shukla, Pancham [2 ]
See, Chan H. [3 ,4 ]
Abd-Alhameed, Raed A. [5 ]
Falcone, Francisco [6 ]
Limiti, Ernesto [1 ]
机构：
[1] Univ Roma Tor Vergata, Elect Engn Dept, Via Politecn 1, I-00133 Rome, Italy
[2] London Metropolitan Univ, Ctr Commun Technol, Sch Comp & Digital Media, London N7 8DB, England
[3] Edinburgh Napier Univ, Sch Engn & Built Environm, Merchiston Campus,10 Colinton Rd, Edinburgh EH10 5DT, Midlothian, Scotland
[4] Univ Bolton, Sch Engn, Deane Rd, Bolton BL3 5AB, England
[5] Univ Bradford, Fac Engn & Informat, Bradford BD7 1DP, W Yorkshire, England
[6] Univ Publ Navarra, Elect & Elect Engn Dept, Pamplona, Spain
来源：
SCIENTIFIC REPORTS | 2020年 / 10卷 / 01期
基金：
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词：
AUTOMATIC ANTENNA; ALGORITHM;
D O I：
10.1038/s41598-020-71056-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper an automatic adaptive antenna impedance tuning algorithm is presented that is based on quantum inspired genetic optimization technique. The proposed automatic quantum genetic algorithm (AQGA) is used to find the optimum solution for a low-pass passive T-impedance matching LC-network inserted between an RF transceiver and its antenna. Results of the AQGA tuning method are presented for applications across 1.4 to 5 GHz (satellite services, LTE networks, radar systems, and WiFi bands). Compared to existing genetic algorithm-based tuning techniques the proposed algorithm converges much faster to provide a solution. At 1.4, 2.3, 3.4, 4.0, and 5.0 GHz bands the proposed AQGA is on average 75%, 49.2%, 64.9%, 54.7%, and 52.5% faster than conventional genetic algorithms, respectively. The results reveal the proposed AQGA is feasible for real-time application in RF-front-end systems.
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收藏
页数：11
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