Improved super-exponential algorithm for blind equalization

Authors:
Dan Wu;Xuemai Gu;Qing Guo
Affiliations:
Communication Research Center, Harbin Institute of Technology, Harbin 150001, PR China;Communication Research Center, Harbin Institute of Technology, Harbin 150001, PR China;Communication Research Center, Harbin Institute of Technology, Harbin 150001, PR China
Venue:
Digital Signal Processing
Year:
2009

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Abstract

Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multi-path fading communication channels. An improved super-exponential method (ISEM) is proposed here. The method, combining super-exponential method (SEM) and minimum description length (MDL), makes the equalization achieve good results even when the signal-to-noise ratio (SNR) is low. Compared with robust super-exponential method (RSEM) using fourth-order cumulants proposed by Kawamoto [M. Kawamoto, Robust super-exponential methods for blind equalization in the presence of Gaussian noise, IEEE Trans. Circuits Syst. II Express Briefs 52 (10) (2005) 651-655], the presented method has better robust performance but less computation.