Title :
Blind maximum-likelihood sequence estimation with decision feedback
Author :
Biao, Xu Jin ; Li Min, Du
Author_Institution :
Lab. for Interactive Inf. Syst., Acad. Sinica, Beijing, China
Abstract :
This paper presents a new reduced-state, decision feedback Viterbi equalizer (RSSDF-PSP) which works blind. In the RSSDF-PSP, the whole length of the channel impulse response (CIR) is divided into two parts. The first part is handled by the MLSE and the second part is handled by a soft decision feedback filter. The first part channel estimate was obtained by the blind per-surviving processing (PSP) algorithm, the second part channel estimate was obtained by the decision feedback filter. The complexity of the MLSE is significantly reduced by the second part CIR truncation. Simulation results show the RSSDF-PSP has nearly the same performance as the MLSE. It provides the best tradeoff between complexity and performance of MLSE
Keywords :
blind equalisers; circuit feedback; computational complexity; decision feedback equalisers; filtering theory; maximum likelihood sequence estimation; signal processing; transient response; CIR truncation; DFE; MLSE; RSSDF-PSP; blind maximum-likelihood sequence estimation; blind per-surviving processing algorithm; channel estimate; channel impulse response; complexity; decision feedback filter; performance; reduced-state decision feedback Viterbi equalizer; simulation results; soft decision feedback filter; Acoustics; Adaptive equalizers; Continuous phase modulation; Decision feedback equalizers; Delay estimation; Filters; Information systems; Laboratories; Maximum likelihood estimation; Viterbi algorithm;
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
DOI :
10.1109/ICCT.1998.743114