Side Lobe Suppression of Concentric Circular Antenna Array Using Social Spider Algorithm

Abstract

This paper presents an efficient method to improve the far-field radiation pattern of concentric circular antenna array (CCAA) design using two stochastic optimization algorithms known as social spider algorithm (SSA) and modified social spider algorithm (MSSA). Low side lobe level (SLL) plays a crucial role in reducing the interference with the other frequency components along the entire side lobes of the far-field radiation pattern. SSA and MSAA are the state-of-the-art evolutionary optimization techniques which are applied here to determine the optimal current amplitude and the inter-element distance between two consecutive antennae of the 3-ring CCAA. In this paper, the optimal results achieved by using SSA, MSSA for (4, 6, 8) elements and (8, 10, 12) elements 3-ring CCAAs, with and without centre elements are reported. The results achieved by employing SSA and MSSA show a considerable improvement in SLL reduction as compared to the uniform and the other array patterns reported in the state-of-the-art literature.

KEYWORDS:

• Concentric circular antenna array
• Side lobe level
• Directivity
• Social spider algorithm
• Modified social spider algorithm

Additional information

Funding

This work is funded by the Science & Engineering Research Board (SERB), Department of Science & Technology-Government of India under the grant EEQ/2017/000519 dated 23 March 2018. The authors are grateful to the Science and Engineering Research Board for funding the project and Visvesvaraya PhD Scheme, Ministry of Electronics and IT, Government of India..

Notes on contributors

Avishek Das

Avishek Das completed his BE degree in electronics and communication engineering and MTech (the project was done on Microwave at Antenna Division in SAMEER-Centre for Electromagnetics, Chennai) in ECE (Microwave) from The University of Burdwan, West Bengal, India in 2008 and 2010, respectively. He received an MBA degree in human resource from Sikkim Manipal University in the year 2014 and completed his PhD degree in 2020 from National Institute of Technology, Durgapur, West Bengal, India under Visvesvaraya PhD Scheme for Electronics and IT, Ministry of Electronics and IT, Government of India. Presently, he is working as assistant professor in the Department of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, West Bengal, India and associated as a post PhD researcher at National Institute of Technology, Durgapur, on the project funded by Science and Engineering Research Board, Department of Science and Technology, Government of India (Grant No. EEQ/2017/000519 dated 23/03/2018). His research interests include the application of evolutionary optimization techniques for the design of antenna arrays.

Durbadal Mandal

Durbadal Mandal passed BE degree in electronics and communication engineering, from Regional Engineering College, Durgapur, West Bengal, India in the year 1996. He received the MTech and PhD degrees from National Institute of Technology, Durgapur, West Bengal, India in the year 2008 and 2011 respectively. Presently, he is working in National Institute of Technology, Durgapur, West Bengal, India, as associate professor in the Department of Electronics and Communication Engineering. His research interest includes array antenna design; filter optimization via evolutionary computing techniques. He has published over 350 research papers in international journals and conferences. E-mail: [email protected]

Rajib Kar

Rajib Kar passed BE degree in electronics and communication engineering, from Regional Engineering College, Durgapur, West Bengal, India in the year 2001. He received the MTech and PhD degrees from National Institute of Technology, Durgapur, West Bengal, India in the year 2008 and 2011, respectively. Presently, he is working in National Institute of Technology, Durgapur, West Bengal, India, as associate professor in the Department of Electronics and Communication Engineering. His research interest includes VLSI circuit optimization, signal processing using evolutionary computing techniques. He has published over 350 research papers in international journals and conferences. E-mail: [email protected]