适用于单快拍的多重信号分类改进算法

Improved algorithm of multiple signal classification for single snapshot

经典多重信号分类(MUSIC)算法的子空间估计以多快拍数据估计得到的协方差矩阵为基础,在实际应用中,可用的快拍数并不确定。针对这一问题,本文提出了一种适用于单快拍的MUSIC改进算法,即ISS-MUSIC算法。该算法对经典MUSIC测向方法进行了改进,将伪协方差矩阵构造法与共轭增强法相结合。新算法的优点为适用于单快拍,且性能优于未进行共轭增强的基于伪协方差矩阵单快拍MUSIC算法。

The classical MUSIC algorithm based on the subspace estimation is dependent on covariance matrix estimation,which is built from a lot of snapshots.However,the number of the available snapshots is indeterminacy in the practical application.In order to solve the problem,we propose an improved MUSIC algorithm for single snapshot,called ISS-MUSIC algorithm.This algorithm improves the performance of the classical MUSIC algorithm,and it combines the method of constructing pseudo-covariance and the method of conjugate enhancement.The advantage of ISSMUSIC algorithm is that it can be used in the case of single snapshot.Meanwhile,its performance outperforms the method of single snapshot MUSIC algorithm based on pseudo-covariance without enhancing conjugate.