一种基于改良粒子群算法的近场阵列自校准方法  

A Near-Field Array Self-Calibration Method Based on Improved Particle Swarm Optimization Algorithm

作　　者：李光远 LI Guangyuan(Dalian Scientific Test&Control Technology Institute,Dalian 116013,China)

机构地区：[1]大连测控技术研究所,辽宁大连116013

出　　处：《电声技术》2022年第10期5-10,共6页Audio Engineering

摘　　要：针对存在位置及幅相误差的大尺度直线阵列,提出一种基于改良粒子群算法的近场阵列位置-幅相误差联合自校准方法。该方法采用三校准源分时、分地工作模式、UML-PSO联合寻优方式,针对校准源位置未知的情况构建目标函数并进行寻优。仿真及试验验证了该算法可应用于实测,且具有较好的性能。Aiming at the large scale linear array with position and amplitude phase errors,a joint position amplitude phase error self calibration method for near-field array based on improved particle swarm optimization algorithm is proposed.This method uses three calibration sources to work in a time-sharing and land sharing mode,and uses the UML-PSO joint optimization method to build an objective function and optimize it when the location of the calibration source is unknown.Through simulation and experimental verification,it is verified that the algorithm can be applied to actual measurement and has good performance.

关 键 词：噪声源定位 粒子群算法 近场自校准 无条件最大似然估计算法 

分 类 号：TN912.1[电子电信—通信与信息系统]