基于边信息和LDPC的分布式信源编码

Distributed Source Coding Based on Side Information and LDPC

传统的分布式信源编码在城域量子通信中有高误码率和低压缩率的缺点,提出了一种改进的分布式信源编码算法,在信源译码器的设计中冗余技术用于纠错检错,基于边信息的和冗余相结合的低密度奇偶校验码设计分布式信源编码.实验表明提出的算法可以保持高压缩率,并在城域量子通信中系统的内部相关性强时更易于实现.

Considering the shortcomings of distributed source coding(DSC)in metropolitan area quantum communication,such the bit error rate is high and the compression ratio is low,an improved distributed source coding is proposed in this paper.In the design of the source encoder,redundancy technology is used to provide error protection,and then the joint design of Low-Density Parity Check code(LDPC)with redundancy and side information is adopted to conduct distributed source coding.Experimental results show that the proposed method can keep a high compression rate and be easily implemented when a strong internal correlation of the quantum communication sources in metropolitan areas.