Analysis of soft decision decoding of interleaved convolutional codes over burst channels

Author

Pimentel, Cecilio ; Rêgo, Leandro Chaves

Author_Institution

Dept. of Electron. & Syst., Fed. Univ. of Pernambuco, Recife, Brazil

fYear

1999

fDate

1999

Firstpage

1090

Abstract

We study the performance of a decision feedback decoder (DFD) for convolutional codes over an interleaved burst channel. The DFD adaptively estimates channel reliability information from previous decisions. The effect of error propagation, finite interleaving and the length of the initial training sequence is explicitly studied. A binary Gilbert-Elliott channel is used to model the correlation structure of the error process. Comparison of the DFD and the hard decision decoding with Hamming metric reveals a crossover between the performance curves, depending on the interleaving parameters and channel statistics

Keywords

Viterbi decoding; channel coding; convolutional codes; error statistics; interleaved codes; Hamming metric; binary Gilbert-Elliott channel; burst channels; channel estimation; channel reliability information; channel statistics; correlation structure; decision feedback decoder; error propagation effect; finite interleaving effect; hard decision decoding; initial training sequence length; interleaved convolutional codes; soft decision decoding; Codecs; Convolutional codes; Design for disassembly; Error correction codes; Feedback; Interleaved codes; Maximum likelihood decoding; Memoryless systems; State estimation; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE

Conference_Location

New Orleans, LA

ISSN

1525-3511

Print_ISBN

0-7803-5668-3

Type

conf

DOI

10.1109/WCNC.1999.796841

Filename

796841