NDLI: Linear Recursive Tracking of Fast Rayleigh-Faded MIMO Channels

Content Provider	IEEE Xplore Digital Library
Author	Levinbook, Y. Wong, T.F.
Copyright Year	2007
Description	Author affiliation: Wireless Inf. Networking Group, Florida Univ., Gainesville, FL (Levinbook, Y.; Wong, T.F.)
Abstract	The problem of linear tracking of fast Rayleigh-faded MIMO channels is considered. Due to computational complexity limitations, Kalman filters based on low-order autoregressive (AR) models are often used although realistic Rayleigh-faded channels cannot be properly approximated by low-order AR models. By increasing the order of the AR model, the channel tracking performance is considerably improved, but the resulting computational complexity may become large. In this paper, the filters used to track the channel are restricted to have a recursive structure, based on the previous estimate and new observation. The knowledge of the autocorrelation function of the channel taps is used to derive filters that are significantly less complex than high-order AR model based Kalman filters at the price of only a minor degradation in performance.
Starting Page	2468
Ending Page	2472
File Size	193039
Page Count	5
File Format	PDF
ISBN	1424406587
ISSN	15253511
DOI	10.1109/WCNC.2007.460
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Receiving antennas Filtering Transmitting antennas Kalman filters Computational complexity Recursive estimation Autocorrelation Degradation Frequency
Content Type	Text
Resource Type	Article

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