Title :
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
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2003.816475