摘要
针对MUSIC算法在相干噪声背景下估计目标方位性能下降的问题,利用酉变换的空时相关矩阵(unitary spatio-temporal correlation matrice—USTCM),替代MUSIC算法中的数据协方差矩阵,设计了单矢量水听器的USTC-MUSIC算法,通过仿真验证了新方法不论噪声是不相干或相干,其噪声抑制能力和目标分辨能力均优于原方法.
In order to solve the problems that target azimuth estimate performance of MUSIC algorithm in the background of coherent noise is degradation.We use unitary spatio-temporal correlation matrice which improve the estimation performance of MUSIC algorithm,instead of the correlation matrix in the MUSIC algorithm,and designed a single vector hydrophone USTC-MUSIC algorithm.New method in the noise suppression and objective distinguishing capability superior than the original method is verified by simulation,whether the noise is irrelevant or coherent.
出处
《武汉理工大学学报（交通科学与工程版）》
2014年第4期864-868,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家部委基金项目资助(批准号:4010709010201)
关键词
空时相关矩阵
单矢量水听器
相干噪声
目标分辨
spatio-temporal correlation matrice
single vector hydrophone
coherent noise
objective distinguish
