摘要
空时自适应处理(STAP)的一个关键问题是协方差矩阵的估计,协方差矩阵的估计是依靠待检数据附近的辅助样本来完成的。要使估计精度足够高,就要求获取足够多的独立同分布的辅助样本。文中对混响数据辅助样本的相关性、同分布特性、时间点数选择问题进行了分析,根据水声信号的特点,给出了有效的处理方案。通过综合考虑协方差矩阵估计精度、自适应处理运算量和降维STAP方法等因素,给出了采用STAP方法抑制混响时辅助样本的选取方法,为STAP抗混响的实现提供了条件。
A key link in space-time adaptive processing （STAP） is the estimation of covariance matrix, which depends on auxiliary samples near the sample to be detected. To ensure the estimation accuracy, sufficient independent identically distributed auxiliary samples are necessary. In this paper, the correlation of reverberation auxiliary samples, the identical distribution characteristic, and the selection of time point number are analyzed, and a corresponding valid scheme is given according to the characteristics of acoustic signal. As a result, a selection method of auxiliary samples for rever-beration suppression via STAP is proposed through comprehensively considering the estimation precision of covariance matrix, the operand of adaptive processing, and the dimension-reduced STAR
出处
《鱼雷技术》
2016年第6期417-421,共5页
Torpedo Technology
关键词
水声信号
抗混响
空时自适应处理(STAP)
辅助样本
acoustic signal
reverberation suppression
space-time adaptive processing（STAP）
auxiliary sample
作者简介
赵申东,男,副教授,主要研究方向为水声信号处理
