Design of non-uniform concentric circular antenna arrays for side lobe reduction using the method of CRPSO

Mandal, Durbadal; Goswami, Bipul; Kar, Rajib; Ghoshal, Sakti Prasad

doi:10.1109/rait.2012.6194635

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…The peak side-lobe level (PSLL) obtained by these methods is lower than that obtained by traditional methods. For example, Tabu search (TS) was shown to be effective in designing LAA [4]. In the context of optimizing linear arrays that are not uniformly spaced, a particle swarm optimization (PSO) algorithm was used to reduce the side-lobe level (SLL) [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of chaotic colony predation algorithm in electromagnetics

Hu,

Liu,

Zhao

2023

Phys. Scr.

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The colony predation algorithm (CPA) is a new meta-heuristic algorithm that mimics the predation of animals to improve the radiation properties of antenna arrays. To overcome CPA’s problems of low accuracy and fast convergence, we propose an improved CPA called the chaotic colony predation algorithm (CCPA). The performance of CCPA was investigated in three parts. First, CCPA was tested with four benchmark functions. Then, CCPA was applied to equally spaced linear arrays to suppress the peak side-lobe level (PSLL) and place nulls in the desired directions. Finally, CCPA was used for a pattern synthesis of equally spaced linear arrays to reduce the PSLL under various constraints. Our results show that CCPA performed competitively with other well-known algorithms. Thus, CCPA is a promising option for solving electromagnetic optimization problems.

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