NDLI: Perturbation analysis of subspace-based semi-blind MIMO channel estimation approaches

Content Provider	IEEE Xplore Digital Library
Author	Feng Wan Wei-Ping Zhu Swamy, M.N.S.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC (Feng Wan; Wei-Ping Zhu; Swamy, M.N.S.)
Abstract	In this paper, a perturbation analysis of two subspace-based semi-blind MIMO channel estimation approaches is conducted. Our analysis shows that, in the noise-free case, the whitening-rotation (WR)-based algorithm is subject to a signal perturbation error, while the nulling-based algorithm is a signal perturbation free scheme with an ideal nulling constraint imposed on the channel matrix. This explains why the WR-based method is efficient only in the low SNR case, and concludes that the nulling-based approach is better for moderate to high SNRs. A novel closed-form mean square error (MSE) expression is also derived for the nulling-based blind estimation method, in which an appealing scheme for the determination of the weighting factor is presented. The nulling-based method with the proposed weighting scheme is validated via computer simulations, showing a very high estimation accuracy of our semi-blind solution in terms of the MSE of the channel estimate.
Starting Page	129
Ending Page	132
File Size	162554
Page Count	4
File Format	PDF
ISBN	9781424416837
DOI	10.1109/ISCAS.2008.4541371
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Channel estimation Signal processing algorithms Signal analysis Mean square error methods Receiving antennas Algorithm design and analysis Maximum likelihood estimation Phase estimation Computer errors
Content Type	Text
Resource Type	Article

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