分布式联合信源信道网络编码
发布时间：2018-12-11 07:49
【摘要】：本文研究的是无线传感器网络场景,两源一中继一目的节点的传输网络模型中,采用低密度奇偶校验码的分布式联合信源信道网络编码技术。在无线传感器网络中,传感器节点具有信息处理能力较低、能量有限但无法实时更新等特点。本文旨在使用联合编码方案对信源数据进行压缩来降低发送端能耗,增强传感器网络的信息传输性能。第二章理论部分,首先,本文介绍了分布式信源编码、信源信道联合编码等理论的研究背景和重要性,详细论述了联合编码方案的研究现状和应用前景,例举了现阶段已有的一些典型联合编码方法。其次,本文阐述了网络编码和联合信道网络编码理论,并进一步分析了联合方案的优越性和重要性。本文在第三章以现代纠错码低密度奇偶校验码为基础,提出分布式联合信源信道网络编码方案。在联合编码方案中,信源节点通过传输系统信道码的校验位与部分信息位,同时实现了信源压缩与信道纠错。中继节点在译码时将会有效利用信源数据间的相关性,删除部分数据比特,减少因中继端引起的错误传播。目的节点将进行联合译码。仿真验证了方案的有效性。本文在第四章对第三章提出的方案进一步改进,提出了基于不均等信息压缩的联合方案,使得信源端可以获得可变的编码速率,更贴近实际应用场景,利于目的节点进行更好地低误差解码。
[Abstract]:In this paper, the wireless sensor network scenario is studied. In the transmission network model of two sources, one relay and one destination node, the distributed joint source and channel network coding technique using low density parity check codes is adopted. In wireless sensor networks, sensor nodes have the characteristics of low information processing capacity, limited energy but unable to update in real time. In this paper, the joint coding scheme is used to compress the source data to reduce the energy consumption of the transmitter and to enhance the information transmission performance of the sensor network. In the second chapter, firstly, the research background and importance of distributed source coding and joint source-channel coding are introduced, and the research status and application prospect of joint coding scheme are discussed in detail. Some typical joint coding methods are given. Secondly, this paper describes the theory of network coding and joint channel network coding, and further analyzes the superiority and importance of the joint scheme. In chapter 3, a distributed joint source-channel network coding scheme is proposed based on the low density parity check codes of modern error-correcting codes. In the joint coding scheme, the source node transmits the check bit and part of the information bit of the system channel code, simultaneously realizes the source compression and the channel error correction. The relaying node will utilize the correlation between the source data effectively, delete some data bits, and reduce the error propagation caused by the relay terminal. The target node will be decoded jointly. The effectiveness of the scheme is verified by simulation. In the fourth chapter, the scheme proposed in chapter 3 is further improved, and a joint scheme based on unequal information compression is proposed, which enables the source end to obtain variable coding rate and is closer to the practical application scenario. It is propitious for the destination node to decode the target node better with low error.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN911.2;TN929.5;TP212.9
本文编号：2372171
[Abstract]:In this paper, the wireless sensor network scenario is studied. In the transmission network model of two sources, one relay and one destination node, the distributed joint source and channel network coding technique using low density parity check codes is adopted. In wireless sensor networks, sensor nodes have the characteristics of low information processing capacity, limited energy but unable to update in real time. In this paper, the joint coding scheme is used to compress the source data to reduce the energy consumption of the transmitter and to enhance the information transmission performance of the sensor network. In the second chapter, firstly, the research background and importance of distributed source coding and joint source-channel coding are introduced, and the research status and application prospect of joint coding scheme are discussed in detail. Some typical joint coding methods are given. Secondly, this paper describes the theory of network coding and joint channel network coding, and further analyzes the superiority and importance of the joint scheme. In chapter 3, a distributed joint source-channel network coding scheme is proposed based on the low density parity check codes of modern error-correcting codes. In the joint coding scheme, the source node transmits the check bit and part of the information bit of the system channel code, simultaneously realizes the source compression and the channel error correction. The relaying node will utilize the correlation between the source data effectively, delete some data bits, and reduce the error propagation caused by the relay terminal. The target node will be decoded jointly. The effectiveness of the scheme is verified by simulation. In the fourth chapter, the scheme proposed in chapter 3 is further improved, and a joint scheme based on unequal information compression is proposed, which enables the source end to obtain variable coding rate and is closer to the practical application scenario. It is propitious for the destination node to decode the target node better with low error.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN911.2;TN929.5;TP212.9
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