基于布谷鸟搜索和加速粒子群算法的线性天线阵列合成副瓣电平降低

M. Krishna, G. Raju, S. Mishra
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引用次数: 2

摘要

阵列方向图合成是通信和雷达应用中的重要问题之一。合成通常是通过控制阵列的幅度和相位电平(或)元间距函数来实现的。虽然均匀线性阵列在信号源方面具有成本效益,但由于高第一副瓣电平的存在,它不是首选。对于点对点通信和高角分辨率雷达,产生低旁瓣窄波束是必不可少的。考虑到这些事实,本工作考虑了线性阵列,并使用CSA和APSO算法对其进行了优化设计。使用单元间距d=0.50的算法评估所需的振幅水平。这项工作的主要目标是在限制波束宽度的情况下最小化副瓣电平。
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Sidelobe level reduction in linear antenna array synthesis using Cuckoo Search & Accelerated Particle Swarm algorithms
Array pattern synthesis is one of the most important problems in communication and radar applications. The synthesis is usually carried out by controlling amplitude and phase levels (or) element spacing functions of the array. Although, uniform linear arrays cost effective in terms of sources it is not preferred due to high presence of high first side lobe levels. For point to the point communications, and high angular resolutions radars, it is essential to generate low side lobe narrow beams. In view of these facts, a linear array is considered in the present work and it is optimally designed using CSA & APSO algorithms. The desired amplitude levels are evaluated using the algorithm with element spacing d=0.50. The main objective of this work is to minimize the sidelobe level with a constraint on beam width.
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