NDLI: The polynomial-based generalized least mean squares estimator for Rician and Rayleigh fading channels

Content Provider	IEEE Xplore Digital Library
Author	Wing Seng Leon Taylor, D.P.
Copyright Year	2004
Description	Author affiliation: Inst. for Infocomm Res., Singapore, Singapore (Wing Seng Leon)
Abstract	A simplification of a previously developed polynomial-based generalized recursive least squares estimator for fading channels is presented. The instantaneous inverse correlation matrix, required for each iteration of the original algorithm, is replaced by a time-invariant approximation to reduce the computational complexity. Under some conditions, the simplified algorithm is equivalent to the standard least mean squares algorithm and is thus called the polynomial-based generalized least mean squares channel estimator. Like its predecessor, it employs polynomial channel models and does not require a priori knowledge of the channel statistics. Furthermore, the proposed estimator does not need to be augmented to accommodate channels with a non-fading mean component. Therefore unlike statistical approaches such as Kalman filtering, the polynomial-based generalized least mean squares estimator is applicable to both Rician and Rayleigh channels without any re-configuration and increased complexity. Simulated and analytical results illustrate its tracking performance and the improvement over the standard least mean squares algorithm.
Starting Page	3861
Ending Page	3865
File Size	144648
Page Count	5
File Format	PDF
ISBN	0780385217
ISSN	10903038
DOI	10.1109/VETECF.2004.1404800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polynomials Rician channels Fading Least squares approximation Least mean square algorithms Recursive estimation Approximation algorithms Computational complexity Statistics Kalman filters
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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