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2020-01-14

A Subarray Design Method for Low Sidelobe Levels

By Kai Yang, Yuqiang Wang, and Hai Tang
Progress In Electromagnetics Research Letters, Vol. 89, 45-51, 2020
doi:10.2528/PIERL19110301

Abstract

Partitioning large arrays into subarrays can reduce system cost. In this paper, we use identical subarrays to partition a large rectangular aperture. The periodical structure in a large array is broken down by changing the orientations of the subarrays. In each subarray, the element positions are optimized by particle swarm optimization (PSO) to obtain low sidelobe levels. In order to reduce the coupling among the elements, the minimum element distance measured in Euclidean space is restricted in the procedure of optimization. And a modified PSO is proposed to solve the optimization problem with this constraint. Better results can be obtained than the element distance constraint measured in Chebyshev space. This simple but efficient subarray design method is demonstrated through several numerical simulations.

Citation


Kai Yang, Yuqiang Wang, and Hai Tang, "A Subarray Design Method for Low Sidelobe Levels," Progress In Electromagnetics Research Letters, Vol. 89, 45-51, 2020.
doi:10.2528/PIERL19110301
http://jpier.org/PIERL/pier.php?paper=19110301

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