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Zhao, Heng; Ban, Yong-Ling; Liu, Yanhui; Hu, Jun; Nie, Zaiping
IEEE transactions on antennas and propagation, 03/2023, Volume: 71, Issue: 3Journal Article
Optimizing the layout of sparse planar arrays constrained by minimum element spacing to reduce the peak side lobe level (PSLL) is a difficult and challenging task in engineering applications. Here, a new sparse array design method is proposed under the constraints of aperture size, the number of array elements, and minimum spacing between elements. The approach is based on a new element mutation method which is proposed for mutating the position of any element within the aperture without changing the position of other elements. Because a mutating element can be thought of as being placed inside the board like a black/white stone in Go or crawling somewhere nearby like a caterpillar, we call it Go-Caterpillar-mutation (GCM). Based on GCM, a stochastic optimization algorithm (GCM-OA) is proposed to optimize the layout of sparse planar arrays. Several examples demonstrate the robustness and rapidity of GCM-OA in reducing PSLL by adjusting the array element positions under various constraints.
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