Title :
Adaptive maximum-likelihood sequence estimation by means of combined equalization and decoding in fading environments
Author :
Kubo, Hiroshi ; Murakami, Keishi ; Fujino, Tadashi
Author_Institution :
Commun. Syst. Lab., Mitsubishi Electr. Corp., Kamakura, Japan
fDate :
1/1/1995 12:00:00 AM
Abstract :
This paper proposes an adaptive maximum-likelihood sequence estimation (MLSE) by means of combined equalization and decoding, i.e., adaptive combined MLSE, which employs separate channel estimation for respective states in the Viterbi algorithm. First, an approximate metric including channel estimation is derived analytically for this proposed adaptive combined MLSE. Secondly, procedures to accomplish blind equalization are investigated for the proposed MLSE. Finally, its excellent BER performance on fast time-varying fading channels is confirmed by computer simulation, when the proposed MLSE operates as a blind equalizer
Keywords :
adaptive estimation; adaptive signal detection; decoding; fading; maximum likelihood estimation; mobile radio; telecommunication channels; time-varying channels; BER performance; MLSE; Viterbi algorithm; adaptive maximum-likelihood sequence estimation; approximate metric; blind equalization; blind equalizer; channel estimation; computer simulation; decoding; equalization; fading environments; fast time-varying fading channels; mobile radio; Adaptive equalizers; Bit error rate; Blind equalizers; Channel estimation; Computer simulation; Fading; Maximum likelihood decoding; Maximum likelihood estimation; State estimation; Viterbi algorithm;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
