通信学报

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分组马尔可夫叠加传输在非高斯脉冲信道上的性能研究

  

  1. 中山大学电子与信息工程学院,广东 广州 510006;
    中山大学广东省信息安全重点实验室,广东 广州 510006; 中山大学数据科学与计算机学院,广东 广州 510006
  • 收稿日期:2018-04-16 修回日期:2018-11-29
  • 基金资助:
    国家自然科学基金资助项目(No.91438101, No.61771499);广东省自然科学基金重大基础研究培育基金资助项目
    (No.2016A030308008);中山大学高校基本科研业务费 2017 年度重大项目和前沿新兴交叉学科培育资助计划基金资助项目(No.17lgjc22, No.17lgjc45)

Performance of block Markov superposition transmission over non-Gaussian impulsive channels 

  1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China 
    Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou 510006, China 
    School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China 
  • Received:2018-04-16 Revised:2018-11-29
  • Supported by:
    The National Natural Science Foundation of China (No.91438101, No.61771499),The Basic Research Project of
    Guangdong Provincial NSF (No.2016A030308008), The Fundamental Research Funds for the Central Universities (No.17lgjc22,No.17lgjc45) 

摘要: 研究了非高斯脉冲信道上的分组马尔可夫叠加传输机制。基于精灵辅助等效系统,分析了分组马尔可夫
叠加传输系统的性能下界。仿真结果表明,在特征因子不同的非高斯脉冲信道上,分组马尔可夫叠加编码技术均
可获得较高的编码增益,且误比特率较低区域的误码性能均可与精灵辅助下界贴合。在 BER = 10?5时,分组马可
夫叠加传输系统便可达到距离香农限约 0.85 dB 的性能。

关键词: 分组马尔可夫叠加传输, 非高斯脉冲信道, SαS 信道模型, 精灵辅助下界 ,

Abstract: : Block Markov superposition transmission scheme was used over channels with symmetric alpha-stable (SαS) 
impulsive noise. Based on the equivalent genie-aided system, the lower bound of the block Markov superposition transmission system was analyzed. Numerical simulations over non-Gaussian impulsive channels with different characteristic exponents show that, in the low bit-error rate region, performance of the block Markov superposition transmission 
system matches well with the lower bound. Block Markov superposition transmission scheme performs well (with 0.85 
dB away from Shannon limits at the BER of 10?5
) over non-Gaussian impulsive channels. 

Key words: block Markov superposition transmission (BMST), non-Gaussian impulsive channel, symmetric alpha-stable ,
(SαS) model, genie-aided lower bound

中图分类号: 

  • TN911.22