Performance Analysis of Approximate ML Detection of MPSK Signals Transmitted over AWGN Channels

Fumiyuki ADACHI  

IEICE TRANSACTIONS on Communications   Vol.E80-B   No.5   pp.726-735
Publication Date: 1997/05/25
Online ISSN: 
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Communication Theory
maximum likelihood detection,  M-ary Phase Shift Keying (MPSK),  coherent detection,  Viterbi algorithm,  

Full Text: PDF(635.9KB)>>
Buy this Article

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) [6] as well as ideal CD and differential detection (DD). Computer simulation results are also presented and compared with theoretical results.