Adaptive blind equalization of time-varying SIMO systems driven by QPSK inputs

Authors:
Dezhong Peng;Yong Xiang;Hieu Trinh;Zhihong Man
Affiliations:
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, PR China;School of Information Technology, Deakin University, Burwood campus, Melbourne, VIC 3125, Australia;School of Engineering, Deakin University, Waurn Ponds campus, Geelong, VIC 3217, Australia;Faculty of Engineering and Industrial Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Venue:
Digital Signal Processing
Year:
2013

Citing 4
Cited 0

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

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Deterministic approaches for blind equalization of time-varyingchannels with antenna arrays

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Abstract

This paper develops an adaptive blind equalization approach for time-varying (TV) SIMO systems with QPSK inputs based on the complex exponential basis expansion model (CE-BEM). Different from most existing blind approaches for TV systems, our proposed method does not require any a priori information or estimations with respect to the basis frequencies in the CE-BEM. This eliminates the reliance of receivers on such a priori knowledge and the computational complexity brought about by the basis frequency estimations. Simulation results show the effectiveness of the proposed method.