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Non-uniform single-ring antenna array design using wavelet mutation based novel particle swarm optimization technique

机译:基于小波突变的新型粒子群优化技术的非均匀单环天线阵列设计

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摘要

Side lobe level (SLL) reduction is the key challenge in antenna array synthesis. In order to achieve low SLL in array pattern, many conventional optimization methods are proposed to handle complex, nonlinear and non-differentiable array factor of antenna array. In this article, we present an improved optimization scheme; Wavelet Mutation based Novel Particle Swarm Optimization (NPSOWM) for the synthesis of various single-ring planar arrays of isotropic antenna elements. The primary objective is to achieve the radiation pattern with minimum SLL and maximum directivity for the non-uniform, planar circular array (CA), hexagonal array (HA) and elliptical array (EA) antenna. The array pattern synthesis is done based on two parameters of the array; namely, excitation amplitude and element spacing. Two design examples are presented which illustrate the effectiveness of the NPSOWM algorithm. As compared with conventional optimization techniques like genetic algorithm (GA), simulated annealing (SA), particle swarm optimization (PSO) and its variant NPSO, NPSOWM outperforms with the goal of maximum SLL suppression. (C) 2017 Elsevier Ltd. All rights reserved.
机译:侧瓣级(SLL)减少是天线阵列合成中的关键挑战。为了实现阵列模式的低SLL,提出了许多传统的优化方法来处理天线阵列的复杂,非线性和不可微分的阵列因子。在本文中,我们提出了改进的优化方案;基于小波突变的新型粒子群优化(NPSOWM),用于合成各向同性天线元件的各种单环平面阵列。主要目的是实现具有最小SLL的辐射模式,以及非均匀,平面圆形阵列(CA),六边形阵列(HA)和椭圆形阵列(EA)天线的最大方向性。阵列模式合成是基于阵列的两个参数完成的;即,激励幅度和元素间距。提出了两个设计示例,其说明了NPSOWM算法的有效性。与遗传算法(GA)等传统优化技术相比,模拟退火(SA),粒子群优化(PSO)及其变体NPSO,NPSOWM与最大SLL抑制的目标效果。 (c)2017 Elsevier Ltd.保留所有权利。

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