Open Access JSIP 385 FIR System Identification Using Feedback

Copyright © 2013 T. J. Moir. This is an open access article distributed under the Creative Commons Attribution License, which per-mits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper describes a new approach to finite-impulse (FIR) system identification. The method differs from the tradi-tional 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