A soft decision metric for coherently detected, differentially encoded MPSK systems

Author

Blasiak, Dariusz

Author_Institution

Motorola Cellular Subscriber Group, IL, USA

Volume

2

fYear

1995

fDate

25-28 Jul 1995

Firstpage

664

Abstract

This paper defines the maximum likelihood (ML) metric for soft decision decoding of forward error correction (FEC) codes on DEPSK systems. Analysis over an AWGN channel shows that the ML soft decision metric provides approximately a 2.0 dB improvement over hard decision FEC decoders for DEPSK systems at a BER of 10^-6, which is consistent with results obtained for the coherent case. Unlike coherent systems, the ML soft decision metric for DEPSK systems is computationally burdensome. Hence, an easily implemented suboptimal soft decision metric that induces negligible loss to BER performance is proposed

Keywords

Gaussian channels; coding errors; demodulation; differential phase shift keying; error statistics; forward error correction; maximum likelihood decoding; modulation coding; AWGN channel; BER performance; DEPSK systems; ML soft decision metric; coherently detected MPSK systems; differentially encoded MPSK systems; forward error correction codes; hard decision FEC decoder; maximum likelihood metric; soft decision decoding; suboptimal soft decision metric; AWGN channels; Bit error rate; Euclidean distance; Forward error correction; Maximum likelihood decoding; Maximum likelihood detection; Performance analysis; Phase modulation; Road transportation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1995 IEEE 45th

Conference_Location

Chicago, IL

ISSN

1090-3038

Print_ISBN

0-7803-2742-X

Type

conf

DOI

10.1109/VETEC.1995.504951

Filename

504951