分布式联合信源—信道编码的研究

发布时间：2018-11-04 10:24

【摘要】：分布式联合信源-信道编码是一种优化的编码设计方案,该设计方案不仅充分利用分布式信源的特点,而且综合了传统的信源编码和信道编码的优缺点,因此,分布式联合信源-信道编码一经提出,就成为了编码界研究的热点。本论文具体讨论了该设计方案的相关内容以及改进方法,主要工作如下:首先,本文对分布式联合信源-信道编码设计方案进行优化。依据该设计方案模型,从最简单的分布式信源压缩出发,对使用伴随式法的分布式相关源压缩进行了系统的分析,进一步在不同信道条件下进行实际性能仿真。基于相关源压缩的伴随式法理论,本文提出了关于分布式联合信源-信道编码的优化设计方案,在相关信道和实际信道相同的条件下,对该优化方案进行了仿真,仿真结果表明该优化方案的误码率性能要优于基于伴随式法的分布式相关源编码方案。其次,对分布式联合信源-信道叠加编码以及联合译码等方案进行了详细的研究。针对非对称信道,在较好的信道得不到充分利用的基础上,提出了分布式联合信源-信道叠加编码的思想,利用调制信号功率的分配和优化使不匹配信道的系统的性能达到最好,并给出了叠加编码方案的容量分析。给出了非对称AWGN信道BPSK调制下的叠加编码设计方案,及联合译码算法的详细介绍,并对独立译码和联合译码两种译码策略进行了对比分析。与传统分布式联合信源-信道编码设计相比,本文提出的分布式联合信源-信道叠加编码以及联合译码优化设计的复杂度与前者接近,但它能够匹配两个非对称信道,充分利用较好的信道,使系统获得更好的性能,因而更适合于实际分布式信源的情况。
[Abstract]:Distributed joint source-channel coding is an optimized coding scheme, which not only makes full use of the characteristics of distributed source, but also integrates the advantages and disadvantages of traditional source coding and channel coding. Once distributed joint source-channel coding is proposed, it has become a hot topic in coding field. The main work of this paper is as follows: firstly, this paper optimizes the distributed joint source-channel coding scheme. Based on the model of the design scheme and the simplest distributed source compression, the distributed correlated source compression using the concomitant method is systematically analyzed, and the actual performance simulation is carried out under different channel conditions. Based on the theory of associated source compression, this paper presents an optimal design scheme for distributed joint source-channel coding. Under the condition of the same correlation channel and real channel, the optimization scheme is simulated. The simulation results show that the BER performance of the optimized scheme is better than that of the distributed correlation source coding scheme based on the concomitant method. Secondly, the distributed joint source-channel superposition coding and joint decoding are studied in detail. For asymmetric channels, the idea of distributed joint source-channel superposition coding is proposed on the basis that better channels are not fully utilized. The system performance of the mismatched channel is optimized by the allocation and optimization of modulation signal power, and the capacity analysis of the superposition coding scheme is given. The design scheme of superposition coding for asymmetric AWGN channel under BPSK modulation is presented, and the joint decoding algorithm is introduced in detail. Two decoding strategies, independent decoding and joint decoding, are compared and analyzed. Compared with the traditional distributed joint source-channel coding design, the complexity of the proposed distributed joint source-channel superposition coding and joint decoding optimization design is close to the former, but it can match two asymmetric channels. Making full use of the better channel, the system can get better performance, so it is more suitable for the actual distributed information source.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.2

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