DocumentCode
2535810
Title
Very-low-complexity decoding algorithm for low-density parity-check codes
Author
Song, Hui-Shi ; Zhang, Ping
Author_Institution
Wireless Technol. Innovations Labs, Beijing Univ. of Posts & Telecommun., China
Volume
1
fYear
2003
fDate
7-10 Sept. 2003
Firstpage
161
Abstract
In this paper, we propose a new very-low-complexity (VLC) decoding algorithm for low-density parity-check (LDPC) codes. This new algorithm only need subtract a correcting factor to improve the accuracy of the soft message values delivered by a previously proposed simplified belief-propagation (BP)-based algorithm called uniformly most powerful (UMP) algorithm. However, the VLC algorithm outperforms the UMP algorithm greatly. The correcting factor can be obtained by simulation or theoretical derivation. This new VLC algorithm is much simpler to implement than BP algorithm, and also simpler than previously proposed normalized BP-based algorithm in which the operation of dividing a normalization factor is needed. However, the performance of the VLC algorithm is slightly better than that of the normalized BP-based algorithm. Also, the VLC algorithm is universal in that the decoding is independent of the channel characteristics. Simulation results demonstrate that the performance of the new VLC algorithm can nearly approach that of BP on the additive white Gaussian noise (AWGN) channel.
Keywords
AWGN channels; Monte Carlo methods; iterative decoding; parity check codes; additive white Gaussian noise channel; belief-propagation algorithm; iterative decoding; low-density parity-check codes; uniformly most powerful algorithm; very-low-complexity decoding; AWGN; Additive white noise; Belief propagation; Bipartite graph; Block codes; Iterative algorithms; Iterative decoding; Parity check codes; Technological innovation; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on
Print_ISBN
0-7803-7822-9
Type
conf
DOI
10.1109/PIMRC.2003.1264253
Filename
1264253
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