FIR System Identification Using Feedback

作     者：T. J. Moir 

作者机构：School of Engineering AUT University Auckland New Zealand 

出 版 物：《Journal of Signal and Information Processing》 (信号与信息处理（英文）)

年 卷 期：2013年第4卷第4期

页      面：385-393页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：LMS Feedback System Identification 

摘      要：This paper describes a new approach to finite-impulse (FIR) system identification. The method differs from the traditional stochastic approximation method as used in the traditional least-mean squares (LMS) family of algorithms, in which we use deconvolution as a means of separating the impulse-response from the system input data. The technique can be used as a substitute for ordinary LMS but it has the added advantages that can be used for constant input data (i.e. data which are not persistently exciting) and the stability limit is far simpler to calculate. Furthermore, the convergence properties are much faster than LMS under certain types of noise input.