Convergence analysis of iterative soft decoding in partial response channels

Author

Song, Hongwei ; Liu, Jingfeng ; Kumar, B. V K Vijaya

Author_Institution

Data Storage Syst. Center, Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

39

Issue

5

fYear

2003

Firstpage

2552

Lastpage

2554

Abstract

In this paper, we apply density evolution to investigate the convergence of iterative soft decoding in partial response (PR) channels and to predict the bit-error-rate (BER) performance of concatenated PR systems. The convergence analysis and computer simulations reveal that column weight-2 low-density parity check (LDPC) codes are similar to recursive systematic convolutional (RSC) codes in terms of extrinsic information transfer characteristics, BER performance, and block-error statistics, while the decoding complexity of column weight-2 LDPC codes is significantly smaller than that of RSC codes.

Keywords

concatenated codes; convergence; convolutional codes; error statistics; iterative decoding; parity check codes; partial response channels; bit error rate; block error statistics; computer simulation; concatenated system; convergence analysis; density evolution; extrinsic information transfer; iterative soft decoding; low-density parity check code; partial response channel; recursive systematic convolutional code; Bit error rate; Computer simulation; Concatenated codes; Convergence; Convolutional codes; Information analysis; Iterative decoding; Parity check codes; Partial response channels; Performance analysis;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2003.816475

Filename

1233140