Title: MIMO radar antenna array synthesis with a hybrid approach based on GA and PSO

Authors: Jian Dong; Yi Jiang; Fang Liu; Xuanzi Zhu; Ronghua Shi

Addresses: School of Information Science and Engineering, Central South University, Changsha, 410000, China ' School of Information Science and Engineering, Central South University, Changsha, 410000, China ' School of Information Science and Engineering, Central South University, Changsha, 410000, China ' School of Information Science and Engineering, Central South University, Changsha, 410000, China ' School of Information Science and Engineering, Central South University, Changsha, 410000, China

Abstract: This study proposes a hybrid approach to synthesise the MIMO radar antenna arrays with low peak side lobe levels (PSLLs). In this approach, the positive features of genetic algorithm (GA) and particle swarm optimisation (PSO) have been integrated to find the optimal array arrangements. Also, in order to avoid prematurity in GA process, an improved adaptive operator is adopted for the adaptive adjustment of crossover probability and mutation probability. The simulation validation, carried out on the synthesised pattern of MIMO radar, shows that, the optimal PSLLs and convergence performance have been achieved by the hybrid approach compared to GA and PSO, respectively.

Keywords: multiple-input multiple-output; MIMO; thinned arrays; genetic algorithms; particle swarm optimisation; PSO; adaptive operators; radar antenna arrays; low peak side lobe levels.

DOI: 10.1504/IJES.2014.063807

International Journal of Embedded Systems, 2014 Vol.6 No.2/3, pp.108 - 113

Received: 06 Sep 2013
Accepted: 11 Oct 2013
Published online: 31 Jul 2014 *

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