Title: Optimal design of non-uniform circular antenna arrays using PSO with wavelet mutation

Authors: Gopi Ram; Durbadal Mandal; Rajib Kar; Sakti Prasad Ghoshal

Addresses: Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, Mahatma Gandhi Avenue, Durgapur, West Bengal, Pin-713209, India ' Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, Mahatma Gandhi Avenue, Durgapur, West Bengal, Pin-713209, India ' Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, Mahatma Gandhi Avenue, Durgapur, West Bengal, Pin-713209, India ' Department of Electrical Engineering, National Institute of Technology, Mahatma Gandhi Avenue, Durgapur, West Bengal, Pin-713209, India

Abstract: In this paper, a novel particle swarm optimisation with wavelet mutation (PSOWM) has been applied for the optimal designs of three non-uniform circular antenna arrays with optimal side lobe level (SLL) reduction. Circular array antennas laid on x-y plane are assumed. PSOWM incorporates a new definition of swarm updating with the help of wavelet theory. Wavelet mutation enhances the PSO to explore the solution space more effectively compared to the other optimisation methods. Thus, PSOWM is apparently free from getting trapped at local optima and premature convergence. The approach is illustrated through 8-, 10-, and 12-element circular antenna arrays. Various simulation results are presented and radiation pattern performances are analysed. The simulation results show PSOWM outperforms GA (Panduro et al., 2006), PSO (Sahib et al., 2008), SA (Rattan et al., 2009), and BBO (Singh and Kamal, 2011) in the optimal design of three non-uniform circular antenna arrays by achieving much greater reduction in SLL and much more improved first null beamwidth (FNBW) and 3 dB beamwidth.

Keywords: non-uniform circular arrays; 3dB beamwidth; SLL; side lobe level; PSOWM; optimal design; circular array antennas; PSO; wavelet mutation; particle swarm optimisation; simulation.

DOI: 10.1504/IJBIC.2014.066965

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.6, pp.424 - 433

Received: 06 Sep 2013
Accepted: 08 Sep 2014
Published online: 24 Jan 2015 *

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