基于双原模图低密度奇偶校验码的联合信源信道编译码系统优化设计

Optimization design for joint source-channel coding and decoding system based on double protograph low-density parity-check codes

香农经典信息论表明信源信道分离编码是渐进最优的,然而该理论自身的局限性使其在实际应用场景中的性能并不是最优的.与传统的信源信道分离级联系统相比,联合信源信道编译码系统可以更加有效地挖掘信源或者信道的特征,进而获得更好的性能,更适合未来无线通信的需求.本文主要基于双原模图低密度奇偶校验(double protograph low-density parity-check,DP-LDPC)码的联合信源信道编码(joint source-channel coding,JSCC)系统,从编码和解码两个方面对近些年针对该系统在标准信道环境下的编译码优化设计工作进行了综述,并对未来的研究工作进行了展望.

Shannon's classical information theory indicates that separate source-channel coding is asymptotically optimal over point-to-point channels.However,the limitations of separation theorem make it difficult to be optimal for lots of practical situations.Compared with the traditional tandem source-channel coding system,joint source-channel coding(JSCC)system,which exploits effectively the information contained in the source or the channel,can possess better performance.In this paper,the code optimization and decoding algorithm optimization for the JSCC system based on double protograph low-density parity-check(DP-LDPC)codes in standard channel environment are summarized.Moreover,the future research work is discussed.