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LDPC-BICM图模型中新的非参数消息调度机制
引用本文:段琳琳,王忠勇,高向川,肖岩. LDPC-BICM图模型中新的非参数消息调度机制[J]. 信号处理, 2014, 30(9): 1000-1006
作者姓名:段琳琳  王忠勇  高向川  肖岩
作者单位:郑州大学信息工程学院
基金项目:国家自然科学基金(61172086,61201251);国家自然科学基金联合基金(U1204607);博士后科研启动基金(2011012)
摘    要:针对时变信道下LDPC编码的比特交织编码调制(Low Density Parity-Check coded Bit-Interleaved Coded Modulation, LDPC-BICM)系统的因子图模型中信道估计精度低与复杂度较高等问题,改进传统参数消息调度机制,提出一种新的非参数消息调度机制实现联合信道估计与译码。为获得性能与复杂度的折中,一方面从全局角度考虑,合理选择不同的内外迭代组合形式,设计了稀疏估计的消息调度机制,一方面从迭代译码角度考虑,通过选择不同的门限和比较准则,设计了局部选择性更新的消息调度机制。同时,将max-sum规则与MCMC粒子滤波相结合,给出基于硬判决的信道消息更新机制,有效解决了粒子样本枯竭问题,提高了信道估计精度。仿真结果表明,这种消息调度机制不仅有效降低复杂度,并且优于传统的消息调度机制。 

关 键 词:LDPC编码的比特交织编码调制   因子图   最大和规则粒子滤波   消息调度机制
收稿时间:2014-02-26

A Novel Nonparametric Messages Update Schedule in Graphical Model of LDPC-BICM
Affiliation:College of Information Engineering,Zhengzhou UniversityCollege of Information system and Engineering, PLA Information and Engineering University
Abstract:Compared to conventional message schedule in factor graph model of LDPC-BICM (low density parity-check coded Bit-Interleaved Coded Modulation) system, a novel nonparametric message update schedule is proposed to get a good trade-off between the performance and complexity. From a global perspective, a message update schedule with sparse channel estimation is designed by selecting different kinds of combination of the outer and inner iteration. And a partial selective message update schedule is designed from the local iterative decoding perspective by choosing proper comparison rule and threshold. In addition, a channel message update schedule is presented to prevent particle impoverishment and improve channel estimation precision by combining Markov Chain Monte Carlo (MCMC) particle filters (PF) into max-sum rule. Simulation results illustrate effectiveness and performance superiority of the proposed schedule compared to conventional schedule. 
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