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Sidelobe optimization of Skobelev Networks

机译:Skobelev网络的旁瓣优化

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A new optimization method for computing the coupling coefficients of the directional couplers constituting a Skobelev Network is presented in this paper. Skobelev Networks (also known as chessboard networks), typically used in Limited Field Of View (LFOV) applications, present a modular structure composed by N stages feeding linear arrays partitioned into several overlapped sub-arrays. Each network stage is made up of directional couplers whose coupling coefficients are determined through a constrained optimization routine based on deformed polyhedron methods. In this work an alternative optimization is proposed. The new procedure consists in two steps: 1) computation of the Skobelev Network Scattering Matrix, 2) constrained optimization of directional coupler coefficients adopting a Sequential Quadratic Programming (SQP) method. The results obtained employing this new routine show a remarkable reduction in the sub-array radiation pattern sidelobe level (from 4.7 dB for N = 1 up to 6.49 dB for N = 4) with negligible effects on the main beam.
机译:本文提出了一种新的优化方法,用于计算构成Skobelev网络的定向耦合器的耦合系数。通常在受限视场(LFOV)应用中使用的Skobelev网络(也称为棋盘网络)呈现出一种模块化结构,该结构由N个阶段组成,这些阶段将线性阵列划分为几个重叠的子阵列。每个网络级都由定向耦合器组成,其定向系数是通过基于变形多面体方法的约束优化例程确定的。在这项工作中,提出了一种替代性的优化方法。新程序包括两个步骤:1)计算Skobelev网络散射矩阵,2)采用顺序二次规划(SQP)方法对定向耦合器系数进行约束优化。采用该新程序获得的结果表明,子阵列辐射方向图旁瓣电平显着降低(从N = 1的4.7 dB到N = 4的6.49 dB),而对主波束的影响可忽略不计。

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