Title :
Channel independent Viterbi algorithm (CIVA) for blind sequence detection with near MLSE performance
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA
Abstract :
This paper proposes a new blind method CIVA for channel equalization. The proposed method performs optimal trellis search without channel estimation. The trellis metrics are updated by the output of a bank of probes, which can be on-line implemented in parallel fashion as a filter bank. The algorithm has near maximum likelihood optimal performance even for SISO or ill-conditioned SIMO channels. In addition, it may practically outperform and converge faster than even training methods.
Keywords :
Viterbi detection; blind equalisers; channel bank filters; maximum likelihood sequence estimation; optimisation; packet radio networks; search problems; CIVA; SISO channels; blind sequence detection; channel equalization; channel independent Viterbi algorithm; convergence; ill-conditioned SIMO channels; maximum likelihood performance; near MLSE performance; optimal trellis search; packet radio; parallel filter bank; probe bank; trellis metric updating; Blind equalizers; Channel estimation; Convergence; DNA; Maximum likelihood estimation; Packet radio networks; Probes; Statistics; Viterbi algorithm; Zinc;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.987022
