Soft-decisions per-survivor processing for mobile fading channels

Author

Anastasopoulos, Achilleas ; Polydoros, Andreas

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

2

fYear

1997

fDate

4-7 May 1997

Firstpage

705

Abstract

This paper addresses the task of joint symbol-by-symbol decisions and maximum likelihood (ML) channel estimation using the PSP concept. Based on two popular algorithms, which have an inherent trellis structure two adaptive derivatives are proposed, namely per-survivor processing-optimum soft output algorithm (PSP-OSA) and PSP-SSA (sub-optimum soft output algorithm). The new algorithm (PSP-SSA) has a simplified form with complexity compared to PSP-MLSE. Simulation results show a significant improvement of the simpler PSP-SSA algorithm over the conventional structure, which consists of a hard-decision channel equalizer followed by a convolutional decoder

Keywords

adaptive equalisers; adaptive signal processing; computational complexity; estimation theory; fading; land mobile radio; maximum likelihood estimation; PSP-MLSE; PSP-OSA; PSP-SSA; adaptive algorithms; complexity; convolutional decoder; hard-decision channel equalizer; maximum likelihood channel estimation; mobile fading channels; optimum soft output algorithm; simulation results; soft-decisions per-survivor processing; suboptimum soft output algorithm; trellis structure; Convolutional codes; Delay; Equalizers; Fading; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1997, IEEE 47th

Conference_Location

Phoenix, AZ

ISSN

1090-3038

Print_ISBN

0-7803-3659-3

Type

conf

DOI

10.1109/VETEC.1997.600420

Filename

600420