Grate Lobes / Side Lobes Suppression for Sparse Array Design by Using Genetic Algorithms

Songwen Li
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引用次数: 9

Abstract

Sparse arrays are popular in sonar, ultrasonic imaging and other acoustic equipment. For inter-element spacing larger than one wave length, there will be grate lobes for ordinary sparse array. Using genetic algorithm to optimize array with randomly spaced elements to suppress the grate lobes is introduced in this paper. Fitness function design and variable choosing method for genetic algorithms application in this kind of objects are presented. A single object fitness function instead of multi objects fitness function usually used for array design is proposed.
基于遗传算法的稀疏阵列栅瓣/侧瓣抑制
稀疏阵列在声纳、超声成像和其他声学设备中很受欢迎。当单元间距大于一个波长时,普通稀疏阵列会出现栅瓣。本文介绍了用遗传算法优化随机间隔单元阵列抑制栅瓣的方法。提出了遗传算法应用于这类对象的适应度函数设计和变量选择方法。提出了一种单目标适应度函数,取代了阵列设计中常用的多目标适应度函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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