Antenna Array Pattern Synthesis Using Metaheuristic Algorithms: A Review

Abstract

In the field of wireless communication, antenna array plays an important role as it improves the gain, directivity, coverage area alongside provides beamsteering capability to the network that is an essential part of a 5G communication system. Antenna array pattern synthesis has received significant importance in communication as it aims at obtaining the radiation pattern close to the desired pattern. In antenna array excitation amplitude, excitation phase and distance between antenna elements are three parameters that can be optimized to obtain radiation pattern with minimum side lobe level, optimum null depth, and desired beamwidth. Metaheuristic algorithms are high-level search algorithms that have widely been explored for pattern synthesis of different array configuration. In this article author has discussed and compared the performance of different metaheuristic algorithms for uniform linear array (ULA), circular, concentric ring, conformal and planar antenna array pattern synthesis.

KEYWORDS:

• 5G
• Beamsteering
• CAA
• Metaheuristic
• SLL
• ULA

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Abhinav Sharma

Abhinav Sharma received his BTech from HNB Garhwal University, Srinagar, India, in 2009 and the MTech and PhD from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India, in 2011 and 2016, respectively. He is working as an assistant professor (Senior Scale) in Department of Electrical and Electronics Engineering, School of Engineering in University of Petroleum and Energy Studies, Dehradun. He has taught subjects such as data communication networks, microprocessor and embedded system, artificial intelligence and machine learning, communication systems. He has publications in IEEE, Taylor & Francis, Elsevier, Springer, Emerald, and many other national and international journals and conferences. His field of interest includes adaptive array signal processing, artificial intelligence, and machine learning, optimization techniques and smart antennas.