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2019-02-12

Multiple-Constraint Synthesis of Rotationally Symmetric Sparse Circular Arrays Using a Hybrid Algorithm

By Ruiqi Wang and Yong-Chang Jiao
Progress In Electromagnetics Research M, Vol. 79, 33-40, 2019
doi:10.2528/PIERM18121002

Abstract

Rotationally symmetric sparse circular arrays are synthesized under multiple constraints. By combining the modified differential evolution algorithm based on the harmony search (in short HSDE) with the vector mapping (VM) method, a hybrid algorithm, called VM-HSDE, is proposed for synthesizing sparse circular arrays with low sidelobe levels. Due to the array's specific geometry, the number of optimization variables is reduced, and the constrained optimization problem is simplified. Moreover, infeasible solutions are avoided, and the problem is effectively solved by the VM-HSDE algorithm. Finally, three pattern optimization results verify the effectiveness and reliability of the VM-HSDE algorithm.

Citation


Ruiqi Wang and Yong-Chang Jiao, "Multiple-Constraint Synthesis of Rotationally Symmetric Sparse Circular Arrays Using a Hybrid Algorithm," Progress In Electromagnetics Research M, Vol. 79, 33-40, 2019.
doi:10.2528/PIERM18121002
http://jpier.org/PIERM/pier.php?paper=18121002

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