Variable forgetting factor RLS algorithm based on dynamic equation of gradient of mean square error

A new variable forgetting factor RLS adaptive algorithm, is introduced. The control of the forgetting factor is based on the dynamic equation of the gradient of the mean square error. Compared with other algorithms, the new algorithm gives fast tracking, has a small mean square model error, and is i...

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Bibliographic Details
Published in:Electronics letters Vol. 37; no. 3; p. 1
Main Authors: So, C F, Leung, S H
Format: Journal Article
Language:English
Published: Stevenage John Wiley & Sons, Inc 01.02.2001
Subjects:
Adaptive algorithms
Algorithms
Dynamics
Errors
Mathematical analysis
Mathematical models
Mean square values
Tracking
ISSN:0013-5194, 1350-911X
Online Access:Get full text
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Summary:A new variable forgetting factor RLS adaptive algorithm, is introduced. The control of the forgetting factor is based on the dynamic equation of the gradient of the mean square error. Compared with other algorithms, the new algorithm gives fast tracking, has a small mean square model error, and is insensitive to SNR.
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ISSN:0013-5194
1350-911X