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

Authors:
Dezhong Peng;Yong Xiang;Defeng Huang
Affiliations:
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China and School of Engineering, Deakin University, Melbourne, VIC, Australia;School of Engineering, Deakin University, Geelong, VIC, Australia;School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA
Venue:
IEEE Transactions on Signal Processing
Year:
2010

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Abstract

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 sigual. 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 sigual. As a result, it exhibits superior performance to the existing basis frequency estimation methods. The validity of our method is demonstrated by numerical simulations.