【摘要】：本文研究的是無(wú)線傳感器網(wǎng)絡(luò)場(chǎng)景,兩源一中繼一目的節(jié)點(diǎn)的傳輸網(wǎng)絡(luò)模型中,采用低密度奇偶校驗(yàn)碼的分布式聯(lián)合信源信道網(wǎng)絡(luò)編碼技術(shù)。在無(wú)線傳感器網(wǎng)絡(luò)中,傳感器節(jié)點(diǎn)具有信息處理能力較低、能量有限但無(wú)法實(shí)時(shí)更新等特點(diǎn)。本文旨在使用聯(lián)合編碼方案對(duì)信源數(shù)據(jù)進(jìn)行壓縮來(lái)降低發(fā)送端能耗,增強(qiáng)傳感器網(wǎng)絡(luò)的信息傳輸性能。第二章理論部分,首先,本文介紹了分布式信源編碼、信源信道聯(lián)合編碼等理論的研究背景和重要性,詳細(xì)論述了聯(lián)合編碼方案的研究現(xiàn)狀和應(yīng)用前景,例舉了現(xiàn)階段已有的一些典型聯(lián)合編碼方法。其次,本文闡述了網(wǎng)絡(luò)編碼和聯(lián)合信道網(wǎng)絡(luò)編碼理論,并進(jìn)一步分析了聯(lián)合方案的優(yōu)越性和重要性。本文在第三章以現(xiàn)代糾錯(cuò)碼低密度奇偶校驗(yàn)碼為基礎(chǔ),提出分布式聯(lián)合信源信道網(wǎng)絡(luò)編碼方案。在聯(lián)合編碼方案中,信源節(jié)點(diǎn)通過(guò)傳輸系統(tǒng)信道碼的校驗(yàn)位與部分信息位,同時(shí)實(shí)現(xiàn)了信源壓縮與信道糾錯(cuò)。中繼節(jié)點(diǎn)在譯碼時(shí)將會(huì)有效利用信源數(shù)據(jù)間的相關(guān)性,刪除部分?jǐn)?shù)據(jù)比特,減少因中繼端引起的錯(cuò)誤傳播。目的節(jié)點(diǎn)將進(jìn)行聯(lián)合譯碼。仿真驗(yàn)證了方案的有效性。本文在第四章對(duì)第三章提出的方案進(jìn)一步改進(jìn),提出了基于不均等信息壓縮的聯(lián)合方案,使得信源端可以獲得可變的編碼速率,更貼近實(shí)際應(yīng)用場(chǎng)景,利于目的節(jié)點(diǎn)進(jìn)行更好地低誤差解碼。
[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.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN911.2;TN929.5;TP212.9

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