摘要
在有限平面范围内使用较少的麦克风数量设计阵列构型,使得阵列具有更好的性能是声源定位系统中需解决的首要问题。文中提出了一种基于遗传算法的阵列优化方法,该方法以阵列波束方向图的主瓣宽度和旁瓣级为基础,兼顾麦克风的数量设计了遗传算法的适应度目标函数,通过改进遗传算法,使其在麦克风阵列优化的应用中得到实现。仿真结果表明,与传统的十字形和矩形平面均匀阵列相比,优化后的阵列构型在保证阵列性能的同时,可以减少麦克风的使用数量。相比于粒子群优化算法,改进遗传算法优化后的阵列具有更优异的性能。
In the sound source localization system,the first problem to be solved is to use a smaller number of microphones and design an array configuration with better performance in a limited plane range.This sutdy proposes an array optimization method based on genetic algorithm to solve the problem.The design of the fitness objective function of the genetic algorithm comprehensively considers the array beam pattern,the width of the main lobe,the level of the side lobe and the number of microphones.By improving the genetic algorithm,the genetic algorithm can be realized in the application of microphone array optimization.The simulation results show that:compared with the traditional cross-shaped and rectangular planar regular arrays,the optimized array configuration can reduce the number of microphones used while ensuring the performance of the array.Compared with the particle swarm optimization algorithm,the array optimized by the improved genetic algorithm has better performance.
作者
张大桂
周志峰
张怡
ZHANG Dagui;ZHOU Zhifeng;ZHANG Yi(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Songjiang Xinqiao Vocational and Technical School,Shanghai 201612,China)
出处
《电子科技》
2023年第7期24-31,共8页
Electronic Science and Technology
基金
上海市科学技术委员会科研基金(17511106700)。
关键词
麦克风阵列
遗传算法
波束方向图
主瓣
旁瓣
主瓣宽度
旁瓣级
粒子群算法
microphone array
genetic algorithm
beam pattern
main lobe
side lobe
main lobe width
sidelobe level
particle swarm algorithm
