Decoding of serial concatenated convolutional codes using Log-MAP delta algorithm

Author

Tyczka, Piotr

Author_Institution

Wireless Commun., Poznan Univ. of Technol., Poznan, Poland

fYear

2012

fDate

18-20 July 2012

Firstpage

1

Lastpage

4

Abstract

In this paper, we study application of the novel reduced implementation complexity decoding algorithm - Log-MAP Delta to decoding serial concatenated convolutional codes (SCCC). We present BER performance results in an additive white Gaussian noise (AWGN) channel and compare the new algorithm against optimal Log-MAP and low complexity Max-Log-MAP decoding. Results show that the Log-MAP Delta algorithm performs with only a slight degradation compared to the Log-MAP while bringing substantial complexity savings.

Keywords

AWGN channels; communication complexity; concatenated codes; convolutional codes; decoding; error statistics; AWGN channel; BER performance; SCCC; additive white Gaussian noise channel; complexity decoding algorithm; low complexity Max-Log-MAP decoding; optimal log-MAP delta algorithm; serial concatenated convolutional codes; Approximation algorithms; Bit error rate; Channel coding; Complexity theory; Convolutional codes; Decoding; Iterative decoding;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2012 8th International Symposium on

Conference_Location

Poznan

Print_ISBN

978-1-4577-1472-6

Type

conf

DOI

10.1109/CSNDSP.2012.6292786

Filename

6292786