摘要
本文研究AR 模型参数特征用于瞬态信号自适应检测的问题。本文依据AR 模型参数矢量长度为特征检测信号的思思,提出了一种具有良好地自适应抑制噪声扰动的参数估计方法,弥补了LS、SVDT 方法的不足。理论分析和实验结果均表明,本文的方法具有很好的AR 模型参数估计和瞬态信号检测性能。
The problem of adaptive detection of transient signals is studied.Basedon the idea of using vector length feature of autoregressive parameters,amethod of estimation of parameters is presented.This method is of goodperformance of adaptive noise control and it can make up the deficiency ofLS and SVDT methods.Theoretical analysis and simulation results show that this method is of good performance of autoregressive parameter estimationand transient signal detection.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
1990年第4期108-116,共9页
Journal of National University of Defense Technology
关键词
检测
估计
瞬态信号
建模
SVD技术
detection
estimate
signals/transient signals
AR model
SVD technique
