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Peak Sidelobe Level Reduction with a Hybrid Approach based on Gas and Difference Sets

机译:基于气体和差异集的混合方法降低峰值旁瓣电平

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This paper presents an approach for the optimization of the beam pattern produced by massively thinned arrays. The method, which combines the most attractive features of a genetic algorithm and those of a combinatorial technique (namely, the Difference Sets Method), is aimed at synthesizing massively thinned antenna arrays in order to suitably reduce the peak side-lobe level. Selected numerical results are presented in order to assess the effectiveness and reliability of the proposed approach. (c) 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
机译:本文提出了一种优化由大量细化阵列产生的光束方向图的方法。该方法结合了遗传算法和组合技术的最吸引人的特征(即差分集方法),旨在合成大量细化的天线阵列,以适当降低峰值旁瓣电平。提出了一些数值结果,以评估所提出方法的有效性和可靠性。 (c)2004 IEEE。个人使用这种材料是允许的。必须为所有其他用户获得IEEE的许可,包括出于广告或促销目的重印/重新发布本材料,创建新的集体作品以转售或重新分发到服务器或列表,或在其他作品中重用此作品的任何受版权保护的组件。

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