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Performance Analysis of Approximate ML Detection of MPSK Signals Transmitted over AWGN Channels
Fumiyuki ADACHI
Publication
IEICE TRANSACTIONS on Communications
Vol.E80B
No.5
pp.726735 Publication Date: 1997/05/25 Online ISSN:
DOI: Print ISSN: 09168516 Type of Manuscript: PAPER Category: Communication Theory Keyword: maximum likelihood detection, Mary Phase Shift Keying (MPSK), coherent detection, Viterbi algorithm,
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Summary:
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 Mary PSK (MPSK) signals transmitted over additive white Gaussian noise (AWGN) channels. An Mstate trellis, each state representing one of M signal constellation points, is used. The RSVCD algorithm performs parallel channel estimation based on the persurvivor 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 M^{L}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.

