IEICE TRANSACTIONS on Communications
A Modified BP Algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion
Summary :
In this paper, a modified Belief Propagation (BP) decoding algorithm for low-density parity check (LDPC) codes based on minimum mean square error (MMSE) criterion is proposed. This modified algorithm uses linear equation to replace the hyperbolic function in the original BP algorithm and optimizes the linear approximation error based on MMSE criterion. As a result, compared with the standard BP algorithm the computational complexity is reduced significantly as the modified algorithm requires only addition operations to implement. Besides that simulation results show our modified algorithm can achieve an error performance very close to the BP algorithm on the additive white Gaussian noise channel.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.5 pp.1256-1259
- Publication Date
- 2010/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.1256
- Type of Manuscript
- LETTER
- Category
- Fundamental Theories for Communications
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Meng XU, Xincun JI, Jianhui WU, Meng ZHANG, "A Modified BP Algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 5, pp. 1256-1259, May 2010, doi: 10.1587/transcom.E93.B.1256.
Abstract: In this paper, a modified Belief Propagation (BP) decoding algorithm for low-density parity check (LDPC) codes based on minimum mean square error (MMSE) criterion is proposed. This modified algorithm uses linear equation to replace the hyperbolic function in the original BP algorithm and optimizes the linear approximation error based on MMSE criterion. As a result, compared with the standard BP algorithm the computational complexity is reduced significantly as the modified algorithm requires only addition operations to implement. Besides that simulation results show our modified algorithm can achieve an error performance very close to the BP algorithm on the additive white Gaussian noise channel.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1256/_p
Copy
@ARTICLE{e93-b_5_1256,
author={Meng XU, Xincun JI, Jianhui WU, Meng ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Modified BP Algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion},
year={2010},
volume={E93-B},
number={5},
pages={1256-1259},
abstract={In this paper, a modified Belief Propagation (BP) decoding algorithm for low-density parity check (LDPC) codes based on minimum mean square error (MMSE) criterion is proposed. This modified algorithm uses linear equation to replace the hyperbolic function in the original BP algorithm and optimizes the linear approximation error based on MMSE criterion. As a result, compared with the standard BP algorithm the computational complexity is reduced significantly as the modified algorithm requires only addition operations to implement. Besides that simulation results show our modified algorithm can achieve an error performance very close to the BP algorithm on the additive white Gaussian noise channel.},
keywords={},
doi={10.1587/transcom.E93.B.1256},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - A Modified BP Algorithm for LDPC Decoding Based on Minimum Mean Square Error Criterion
T2 - IEICE TRANSACTIONS on Communications
SP - 1256
EP - 1259
AU - Meng XU
AU - Xincun JI
AU - Jianhui WU
AU - Meng ZHANG
PY - 2010
DO - 10.1587/transcom.E93.B.1256
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2010
AB - In this paper, a modified Belief Propagation (BP) decoding algorithm for low-density parity check (LDPC) codes based on minimum mean square error (MMSE) criterion is proposed. This modified algorithm uses linear equation to replace the hyperbolic function in the original BP algorithm and optimizes the linear approximation error based on MMSE criterion. As a result, compared with the standard BP algorithm the computational complexity is reduced significantly as the modified algorithm requires only addition operations to implement. Besides that simulation results show our modified algorithm can achieve an error performance very close to the BP algorithm on the additive white Gaussian noise channel.
ER -
English
