摘要
针对阵列信号空间谱估计中出现的阵列位置误差导致高分辨率测向算法性能下降甚至失效的问题,提出一种基于粒子群算法的阵列位置误差校正方法。该方法利用一个方位已知的校正源,从阵列输出的协方差矩阵中提取位置信息,建立目标函数,然后利用粒子群算法运算简单、寻优能力强的优势,估计得到阵元所处的实际位置值。计算机仿真结果表明:经过该算法校正过的MUSIC算法的性能已经接近无阵列位置误差时的性能,显示了该算法的实用性和有效性。
A method on the sensors position calibration based on the PSO algorithm was presented aiming to solve the problem of sensors position error which lead to a failure of DOA high-resolution algorithms.This method firstly got position information from the covariance matrix and set up a target function by using a calibrated source,and then made the best use of PSO algorithm which had a good ability to find the most suitable solution to estimate the actual sensors position.Computer simulation results demonstrated that the proposed method worked effectively,and the performance of MUSIC algorithm could be highly improved by using this method.
出处
《探测与控制学报》
CSCD
北大核心
2012年第4期34-38,42,共6页
Journal of Detection & Control
关键词
无线电测向
天线阵列
位置误差
粒子群算法
radio direction finding
sensor array
position error
PSO algorithm