Performance analysis of approximate ML detection of MPSK signals transmitted over AWGN channels

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)726-735
Number of pages10
JournalIEICE Transactions on Communications
VolumeE80-B
Issue number5
Publication statusPublished - 1997 Jan 1
Externally publishedYes

Keywords

  • Coherent detection
  • M-ary PSK
  • Maximum likelihood detection
  • Viterbi algorithm

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Performance analysis of approximate ML detection of MPSK signals transmitted over AWGN channels'. Together they form a unique fingerprint.

  • Cite this