CRPSOWM for Linear Antenna Arrays with Improved SLL and Directivity

ABSTRACT

In this paper, swarm-based algorithms craziness particle swarm optimization with wavelet mutation (CRPSOWM) have been applied for the optimal design of hyper beamforming of linear antenna array. The conventional gradient based optimization techniques are not efficient and get trapped on local optima for such multimodal highly non-linear constrained hyper beamforming optimization problem. Thus, the above evolutionary technique has been adopted. CRPSOWM incorporates a new definition of swarm updating with the help of wavelet theory. Wavelet mutation enhances the CRPSO to explore the solution space more effectively compared to the other optimization methods as reported in firefly algorithm (FFA). Thus CRPSOWM is apparently free from getting trapped at local optima and premature convergence. The simulation results show CRPSOWM outperforms FFA by achieving much greater reduction in side lobe level, improved directivity and much more improved first null beam width keeping the same value of hyper beam exponent. The optimized hyper beam is achieved by optimization of current excitation weights and uniform inter-element spacing. The approach is illustrated through 10-, 14-, and 20-element linear antenna arrays.

Keywords:

• Hyper beam
• linear antenna arrays
• CRPSO
• CRPSOWM
• SLL
• FNBW

Additional information

Notes on contributors

Gopi Ram

Gopi Ram passed BE degree in Electronics and Telecommunication Engineering, from Government Engineering College, Jagdalpur, Chhattisgarh, India in the year 2007. He received the MTech degree from National Institute of Technology, Durgapur, West Bengal, India in the year 2011. Presently, he is attached with National Institute of Technology, Durgapur, West Bengal, India, as Institute PhD Research Scholar in the Department of Electronics and Communication Engineering. His research interest includes Array Antenna design; via Evolutionary Computing Techniques.

E-mail: [email protected]

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 attached with National Institute of Technology, Durgapur, West Bengal, India, as Assistant 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 more than 200 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 attached with National Institute of Technology, Durgapur, West Bengal, India, as assistant professor in the Department of Electronics and Communication Engineering. His research interest includes VLSI signal Processing, Filter optimization via Evolutionary Computing Techniques. He has published more than 230 research papers in International Journals and Conferences.

E-mail: [email protected]

Sakti Prasad Ghoshal

Sakti Prasad Ghoshal passed BSc and BTech, degrees in 1973 and 1977, respectively, from Calcutta University, West Bengal, India. He received MTech degree from IIT (Kharagpur) in 1979. He received PhD degree from Jadavpur University, Kolkata, West Bengal, India in 1992. Presently, he is acting as professor of Electrical Engineering Department of NIT Durgapur, West Bengal, India. His research interest areas are Application of Evolutionary Computing Techniques to Electrical Power systems, Digital Signal Processing, Array antenna optimization, and VLSI. He has published more than 250 research papers in International Journals and Conferences.

E-mail: [email protected]