Approximate maximum likelihood (ML) detection implemented by a reduced state Viterbi algorithm (VA) called the reduced state Viterbi coherent detection (RSVCD) algorithm in this paper is described for the reception of uncoded M-ary PSK. (MPSK) signals transmitted over additive white Gaussian noise (AWGN) channels. An M-state trellis each state representing one of M signal constellation points is used. The RSVCD algorithm performs parallel channel estimation based on the per-survivor processing principle (PSPP). Simple decision feedback CD (DFCD) is deduced as a special case of RSVCD. Unified BER expressions are derived for RSVCD DFCD and approximate ML detection implemented as an ML-state Viterbi algorithm (referred to as VACD)  as well as ideal CD and differential detection (DD). Computer simulation results are also presented and compared with theoretical results.
|ジャーナル||IEICE Transactions on Communications|
|出版ステータス||Published - 1997 1 1|
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信