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

Alibakhshikenari, Mohammad, Virdee, Bal Singh, Shukla, Pancham, See, Chan, Abd-Alhameed, Raed, Falcone, Francisco and Limiti, Ernesto (2020) Improved adaptive impedance matching for RF front‑end systems of wireless transceivers. Scientific Reports, 10 (14065). pp. 1-11. ISSN 2045-2322

Published_Sci Rep 10, 14065 (2020)_August 2020.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (2MB) | Preview
Official URL:

Abstract / Description

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.

Item Type: Article
Uncontrolled Keywords: automatic quantum genetic algorithm (AQGA); RF front‑end systems of wireless transceivers
Subjects: 600 Technology > 620 Engineering & allied operations
Department: School of Computing and Digital Media
Depositing User: Bal Virdee
Date Deposited: 24 Aug 2020 09:20
Last Modified: 24 Aug 2020 09:20


Downloads per month over past year

Downloads each year

Actions (login required)

View Item View Item