ADAPTIVE MAXIMUM-LIKELIHOOD SEQUENCE ESTIMATION BY MEANS OF COMBINED EQUALIZATION AND DECODING IN FADING ENVIRONMENTS

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 respecti ve states in the Viterbi algorithm. First, an approximate metric inclu ding channel estimation is derived analytically for this proposed adap tive combined MLSE. Secondly, procedures to accomplish blind equalizat ion are investigated for the proposed MLSE. Finally, its excellent BER performance on fast time-varying fading channels is confirmed by comp uter simulation, when the proposed MLSE operates as a blind equalizer.