Title: Optimal design of broadband matching networks using cuckoo search optimisation algorithm

Authors: Slami Saadi

Addresses: Faculty of Exact Sciences and Informatics, Ziane Achour University, BP3117, Djelfa, Algeria

Abstract: In this work, a novel evolutionary optimisation algorithm is introduced for the design of broadband matching networks connecting a resistive source generator and a complex inductive load. Impedance matching networks are the key for full transfer of power to the load. They should offer matching over the entire frequency concerned band. A low noise amplifier (LNA) is also optimised to attain the target gain and noise figure specifications over a definite bandwidth, throughout lumped LC elements. Cuckoo search optimisation algorithm (CSOA) is inspired by the life of a bird family, called cuckoo, offers excellent results with simple tuning parameters compared to previous conventional and meta-heuristic optimisation algorithms. It is extremely powerful in solving engineering optimisation problems. Simulation results for broadband impedance matching networks are presented and analysed and the optimised matching network improves well the performances of the circuit.

Keywords: broadband; matching network; low noise amplifier; LNA; antenna; cuckoo search algorithm.

DOI: 10.1504/IJSCC.2019.100532

International Journal of Systems, Control and Communications, 2019 Vol.10 No.3, pp.235 - 249

Received: 26 Oct 2017
Accepted: 22 Nov 2018

Published online: 29 Mar 2019 *

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