摘要
针对传统波达方向估计算法在低信噪比条件下性能表现不佳的问题,本文提出了一种基于改进多信号分类的波达方向估计算法。本文首先对多信号分类算法的不足进行分析,并采用时间平滑技术构建相关矩阵,然后采用相关矩阵建立空间谱函数达到波达方向估计,最后采用仿真实验对算法的性能进行测试。结果表明,本文算法可以快速准确的估计出多个信号的波达方向,降低了波达方向估计误差,而且性能远远优于其它改进多信号分类算法。
Traditional algorithm of direction of arrival estimation in low SNR ratio conditions poor performance problems,an estimation algorithm for direction of arrival based on improved MUSIC algorithm is proposed in this paper.Firstly the shortcomings of multiple signal classification algorithm is analyzed,and temporal smoothing technique is used to construct the correlation matrix,and then correlation matrix is used to construct spectral function and estimate direction of arrival,finally the performance of the algorithm is tested by the simulation experiment.The results show that,the proposed algorithm can rapidly and accurately estimate the direction of arrival for multiple signals,direction of arrival estimation error is reduced,and the performance is superior to the other modified multiple signal classification algorithm.
出处
《激光杂志》
CAS
CSCD
北大核心
2014年第11期20-22,共3页
Laser Journal
基金
广东省教育部产学研项目(2013C001)
关键词
波达方向估计
多信号分类算法
协方差矩阵
信号估计
Direction of arrival
MUSIC algorithm
Covariance matrix
Covariance matrix
Signal estimation