Blind equalization using second-order statistics

Kaywan H. Afkhamie, Zhi Quan Luo

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


When a message signal is transmitted through a linear dispersive system, the system output may contain severe intersymbol interference (ISI). The removal of the ISI without the aid of training signals is referred to as blind equalization. We present a new algorithm that achieves blind equalization of possibly nonminimum phase channels, based only on the second-order statistics of the source symbols. Source symbols may have an arbitrary distribution; specifically, they do not have to be independently identically distributed (i.i.d.). This is an extension to previous work done by Tong, Xu and Kailath [1]. Simulations show that the new algorithm compares favorably to the algorithm given in [1].

Original languageEnglish (US)
Pages (from-to)1053-1056
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 1995
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
Duration: May 9 1995May 12 1995


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