Fractionally spaced equalizer based on multichannel linear prediction

Author

Zhang, Zijing ; Zhang, Linrang ; Shui, Penglang

Author_Institution

Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China

Volume

2

fYear

2004

fDate

31 May-2 June 2004

Firstpage

393

Abstract

A blind MMSE equalizer based on linear prediction is presented in this paper. It can directly equalize the channel from the fractionally sampled observations without performing channel identification. In addition, it can be implemented efficiently using the RLS algorithm. Simulation results show that the blind MMSE equalizer has smaller mean-square error of symbol estimation than the prediction-based zero-forcing equalizer.

Keywords

blind equalisers; channel estimation; error statistics; intersymbol interference; least mean squares methods; linear predictive coding; RLS algorithm; blind MMSE equalizer; channel equalisation; channel identification; fractionally spaced equalizer; intersymbol interference; mean-square error symbol estimation; multichannel linear prediction; prediction-based zero-forcing equalizer; Blind equalizers; Delay; Estimation error; Finite impulse response filter; Intersymbol interference; Matrix decomposition; Predictive models; Radar signal processing; Signal processing algorithms; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on

Print_ISBN

0-7803-7938-1

Type

conf

DOI

10.1109/CASSET.2004.1321904

Filename

1321904