A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis. Issue 13 (2nd September 2018)

• Record Type: Journal Article
• Authors: Liang, Zhipeng; Ouyang, Jun; Yang, Feng
• Is Part Of: Journal of electromagnetic waves and applications. Volume 32:Issue 13(2018)
• Page Start: 1601
• Page End: 1615
• Publication Date: 2018-09-02
• Subjects: Optimization algorithm -- pattern synthesis -- conformal antenna array; Electromagnetic waves -- Periodicals; Electromagnetic devices -- Periodicals; 621.3
• DOI: 10.1080/09205071.2018.1462257
• Languages: English
• ISSNs: 0920-5071

Abstract

Abstract: This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accuracy when applied to antenna array pattern synthesis. To show the performance of the hybrid optimization algorithm, several typical test functions and optimization examples of a linear array pattern synthesis are illustrated. Finally, a 4 × 2 cylindrical conformal microstrip antenna array as a practical synthesis example is studied to demonstrate the proposed algorithm. The simulated and measured results have shown the proposed method is effective and reliable for conformal antenna array pattern synthesis.