Soft Computing Techniques for Mutual Coupling Reduction in Metamaterial Antenna Array | Zendy

Balamati Choudhury | Zendy; Sangeetha Manickam | Zendy; R. M. Jha | Zendy

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Soft Computing Techniques for Mutual Coupling Reduction in Metamaterial Antenna Array

Author(s) -

Balamati Choudhury,

Sangeetha Manickam,

R. M. Jha

Publication year - 2013

Publication title -

journal of optimization

Language(s) - English

Resource type - Journals

eISSN - 2356-752X

pISSN - 2314-6486

DOI - 10.1155/2013/252806

Subject(s) - metamaterial , particle swarm optimization , reduction (mathematics) , coupling (piping) , microwave , resonator , computer science , microstrip antenna , antenna (radio) , split ring resonator , electronic engineering , topology (electrical circuits) , physics , telecommunications , materials science , engineering , mathematics , algorithm , optoelectronics , electrical engineering , geometry , metallurgy

Application of soft computing techniques for various metamaterial designs and optimizations is an emerging field in the microwave regime. In this paper, a global optimization technique, namely, particle swarm optimization (PSO), is used for the design and optimization of a square split ring resonator (SSRR) having a resonant frequency of 2.4GHz.The PSO optimizer yields the structural parameters, which is further simulated and validated with the optimized value. This optimized structure results in the mutual coupling reduction in a microstrip antenna array designed for wireless application

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