Open Access Open Access  Restricted Access Subscription or Fee Access

Side Lobe Reduction using Bacterial Foraging Optimization

Deepa Bammidi, Chandra Bhushana Rao Kota

Abstract


Abstract

To meet the need for long-distance communication, the directive characteristics and radiation pattern of the antenna must be improved. By arranging the antenna elements in an electrical or geometric pattern, such that the radiated energy of the radiation elements vector added in the desired direction of propagation and canceled in the unwanted direction, results in a better-designed antenna array. The elements of the antenna array may be uniformly or non-uniformly placed. A design problem of non-uniform circular antenna arrays for maximum reduction of both the sidelobe level (SLL) and first null beam width (FNBW) is dealt with in the project. The method of Bacteria Foraging Optimization (BFO) is used to find an optimal set of current excitation weights and antenna inter-element spacing that provide radiation patterns with maximum SLL reduction and much improvement on FNBW as well. The optimized values of current excitation weights and inter-element spacing are used to generate the graphs for relative side lobe vs different inter-element spacing are plotted. The results are analyzed in terms of iteration cycles, sidelobe reduction (SLL) and first null beam width (FNBW).

Keywords: Sidelobe reduction, first null beam width, bacteria foraging optimization formatting

Cite this Article

Deepa Bammidi, Chandra Bhushana Rao Kota. Side Lobe Reduction using Bacterial Foraging Optimization. Journal of Microwave Engineering & Technologies. 2020; 7(2): 7–15p.


Full Text:

PDF

References


Constantine A. Balanis. Antenna theory analysis and design”, A Jhon Wiley & sons, inc., publication, 2005.

Gopi Ram, A. Biswas, D. Mandal, R. Kar, and S.P. Ghoshal. Performance comparison of Optimum uniform and non-uniform Spacing of Circular Antenna Arrays”, Proc. IEEE CODIS 2012.

“Bacterial foraging optimization algorithm: A Derivative free technique”, Nitin Kumar Jhankal, Dipak Adhyaru, Member, IEEE, International Conference On Current Trends In Technology, NUiCONE 2011.

Linlin Shao, Yuehui Chen. Bacterial Foraging Optimization Algorithm Integrating Tabu Search for Motif Discovery”, 2009 IEEE International Conference on Bioinformatics and Biomedicine. Yichuan Shao, Hanning Chen. Cooperative Bacterial Foraging Optimization”, 2009 International Conference on Future BioMedical Information Engineering.

D. Mandal, S. P. Ghoshal, and A. K. Bhattacharjee. Application of BioInspired Optimization Technique for Finding The Optimal set of Concentric Circular Antenna Array. 2009 World Congress on Nature & Biologically Inspired Computing, pp. 1247–1252, 2009.

S. Das, B. K. Panigrahi, S. Pattnaik. Nature-Inspired Algorithms for Multi-objective Optimization. Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, IGI Global, vol. 1, pp. 95–104, 2009.

Hanning Chen, Yunlong Zhu and Kunyuan Hu. Self-adaptation in Bacterial Foraging Optimization algorithm”, 3rd International Conference on Intelligent System and Knowledge Engineering, IEEE Xplore, 30 December 2008.




DOI: https://doi.org/10.37591/jomet.v7i2.4006

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Journal of Microwave Engineering and Technologies