[1]高星,张萌,戴志生,等.MIMO-OFDM系统中LDPC码的改进型译码算法[J].东南大学学报(自然科学版),2009,39(5):884-888.[doi:10.3969/j.issn.1001-0505.2009.05.003]
 Gao Xing,Zhang Meng,Dai Zhisheng,et al.Modified decoding algorithm for LDPC codes in MIMO-OFDM system[J].Journal of Southeast University (Natural Science Edition),2009,39(5):884-888.[doi:10.3969/j.issn.1001-0505.2009.05.003]
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MIMO-OFDM系统中LDPC码的改进型译码算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第5期
页码:
884-888
栏目:
信息与通信工程
出版日期:
2009-09-20

文章信息/Info

Title:
Modified decoding algorithm for LDPC codes in MIMO-OFDM system
作者:
高星 张萌 戴志生 汤佳健 徐勐
东南大学国家专用集成电路系统工程技术研究中心, 南京 210096
Author(s):
Gao Xing Zhang Meng Dai Zhisheng Tang Jiajian Xu Meng
National ASIC System Engineering Research Center, Southeast University,Nanjing 210096, China
关键词:
置信传播译码算法 归一化译码算法 偏移译码算法 最小均方误差准则
Keywords:
belief propagation decoding algorithm normalized decoding algorithm offset decoding algorithm minimum mean square error rule
分类号:
TN911.22
DOI:
10.3969/j.issn.1001-0505.2009.05.003
摘要:
为了降低LDPC码译码算法的复杂性并提高译码性能,针对传统的最小和译码算法的性能缺陷,提出一种改进型最小和译码算法.在最小均方误差准则下,该改进型译码算法充分利用了归一化译码算法和偏移译码算法的优点,以逼近置信传播译码算法.最后将LDPC码的改进型最小和译码算法应用于MIMO-OFDM系统中以降低载波干扰.仿真结果表明,若MIMO-OFDM系统要求的误码率为10-5,改进型最小和译码算法的编码增益比传统的最小和译码算法高出0.5 dB,比归一化译码算法和偏移译码算法分别高出0.3和0.2 dB,与置信传播译码算法仅差0.15 dB.另外,改进型最小和译码算法也具有低的硬件复杂度.
Abstract:
To reduce the complexity and improve performance of decoding algorithm for LDPC(low density parity check)codes, a modified min-sum algorithm is proposed to make up the performance drawback of traditional min-sum algorithm. Based on minimum mean square error rule,the modified min-sum algorithm makes full use of advantages of normalized decoding algorithm and offset decoding algorithm to approach to belief propagation decoding algorithm. The modified min-sum algorithm is applied in MIMO-OFDM(multiple input multiple output-orthogonal frequency division multiplexing)system to reduce intercarrier interference. Simulation results show that when MIMO-OFDM system asks BER(bit error ratio)to be 10-5,the encoding gain of modified min-sum decoding algorithm can be 0.5 dB better than traditional min-sum decoding algorithm, 0.3 and 0.2 dB better than normalized decoding algorithm and offset decoding algorithm respectively, and only 0.15 dB worse than belief propagation decoding algorithm. In addition, the modified min-sum algorithm has low hardware complexity.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 高星(1983—),男,硕士生; 张萌(联系人),男,副教授,zmeng@seu.edu.cn.
基金项目: 国家高技术研究发展计划(863计划)资助项目(2007AA01Z280).
引文格式: 高星,张萌,戴志生,等.MIMO-OFDM系统中LDPC码的改进型译码算法[J].东南大学学报:自然科学版,2009,39(5):884-888. [doi:10.3969/j.issn.1001-0505.2009.05.003]
更新日期/Last Update: 2009-09-20