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Improved Adaptive Impedance Matching for RF Front-End Systems of Wireless Transceivers

Alibakhshikenari, Mohammad; Virdee, Bal S.; Shukla, Pancham; See, Chan Hwang; Abd-Alhameed, Raed; Falcone, Francisco; Limiti, Ernesto


Mohammad Alibakhshikenari

Bal S. Virdee

Pancham Shukla

Raed Abd-Alhameed

Francisco Falcone

Ernesto Limiti


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 LCnetwork 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.

Journal Article Type Article
Acceptance Date Jul 28, 2020
Online Publication Date Aug 21, 2020
Publication Date Aug 21, 2020
Deposit Date Jul 28, 2020
Publicly Available Date Aug 21, 2020
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Article Number 14065 (2020)
Keywords Antenna impedance matching, automatic quantum genetic algorithm (AQGA), RF-frontend systems, T-type impedance matching LC-network, wireless transceiver-circuits
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Improved Adaptive Impedance Matching for RF Front-End Systems of Wireless Transceivers (1.2 Mb)

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