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Estimation of basis frequencies for time-varying SIMO channels : a second-order method

Peng, Dezhong, Xiang, Yong and Huang, Defeng 2010, Estimation of basis frequencies for time-varying SIMO channels : a second-order method, IEEE transactions on signal processing, vol. 58, no. 8, pp. 4026-4039.

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Title Estimation of basis frequencies for time-varying SIMO channels : a second-order method
Author(s) Peng, Dezhong
Xiang, Yong
Huang, Defeng
Journal name IEEE transactions on signal processing
Volume number 58
Issue number 8
Start page 4026
End page 4039
Total pages 14
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2010-08
ISSN 1053-587X
1941-0476
Keyword(s) basis frequency
complex exponential basis expansion
second-order statistics
time-varying SIMO channel
Summary The complex exponential basis expansion model (CE-BEM) provides an accurate description for the time-varying (TV) channels encountered in mobile communications. Many blind channel identification and equalization approaches based on the CE-BEM require precise knowledge of the basis frequencies of TV channels. Existing methods for basis frequency estimation usually resort to the higher-order statistics of channel outputs and impose strict constraints on the source signal. In this paper, we propose a novel method to estimate the basis frequencies for blind identification and equalization of time-varying single-input multiple-output (SIMO) finite-impulse-response (FIR) channels. The proposed method exploits only the second-order statistics of channel outputs and does not require strong conditions on the source signal. As a result, it exhibits superior performance to the existing basis frequency estimation methods. The validity of our method is demonstrated by numerical simulations.
Language eng
Field of Research 090609 Signal Processing
Socio Economic Objective 890104 Mobile Telephone Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032311

Document type: Journal Article
Collection: School of Engineering
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