NDLI: Joint time-delay estimation and adaptive recursive least squares filtering

Content Provider	IEEE Xplore Digital Library
Author	Boudreau, D. Kabal, P.
Copyright Year	1991
Abstract	A general estimation model is defined in which two observations are available: a noisy and a noise-filtered and delayed version of the transmitted signal. The delay and the filter must be estimated. The joint estimator is composed of an adaptive delay element operating in conjunction with an adaptive transversal filter. The delay is updated using a form of derivative, with respect to the delay, of the sum of squared errors. The adaptive delay is limited to integer values and is defined as the lag. The lag value is computed and updated so that the optimum least-squares solution is attained. The joint algorithm is obtained by combining the lag update relations with a version of the fast transversal filter RLS algorithm. Simulations show that both stationary and time-varying delays are effectively tracked and that the adaptive filter properly estimates the reference filter impulse response.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	592
Ending Page	601
Page Count	10
File Size	854037
File Format	PDF
ISSN	1053587X
Volume Number	41
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recursive estimation Least squares approximation Delay estimation Transversal filters Adaptive filters Error correction Resonance light scattering Computational modeling Delay effects
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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