Title :
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
fDate :
31 May-2 June 2004
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;
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
DOI :
10.1109/CASSET.2004.1321904
