基于改进遗传算法的传声器随机阵列优化设计
Optimal Design of Microphone Random Array Based on Improved Genetic Algorithm
傅威 1燕群 1侯峰 1韩鹏程1
作者信息
- 1. 中国飞机强度研究所,陕西 西安 710065
- 折叠
摘要
针对传声器规则阵列因均匀采样间隔导致的空域混淆问题,提出一种基于改进遗传算法的传声器随机阵列优化设计方法.经过仿真分析,优化后24元随机阵列在保持主瓣性能的同时,有效抑制了旁瓣的增益.与均匀阵列相比,采用设计的遗传算法对阵列布局进行优化设计后可获得更好的旁瓣抑制和阵列增益.
Abstract
Aiming at the problem of spatial confusion caused by uniform sampling intervals in microphone regular arrays, an optimized design method for microphone random arrays based on an improved genetic algorithm is proposed. The results show that the optimized 24-channel random array can control the main lobe width loss at a low level while the side lobes are significantly suppressed. Compared with uniform array, the genetic algorithm designed in this paper can be used to optimize the array layout and obtain better array directivity.
关键词
传声器阵列/遗传算法/主瓣宽度/最大旁瓣级/阵列方向图Key words
microphone array/genetic algorithm/main lobe width/maximum sidelobe level/array pattern引用本文复制引用
出版年
2024
NETL
NSTL
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