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Research on Distributed Source Coding Based on LDPC Codes

Author: WangYang
Tutor: PengLi
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Distributed source coding Coset divided The syndrome The bit flip iteration decoding LDPC codes Network coding
CLC: TN911.22
Type: Master's thesis
Year: 2011
Downloads: 30
Quote: 0
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Abstract


The distributed source coding (Distributed Source Coding, DSC) compression encoding technique is a kind of information can be used to compress to have mutual relationships , but they do not communicate with each other source . Such information compression method is simple encoding , low energy consumption , and has potential applications in the encoder end energy constrained sensor networks . Non - coherent MIMO communication system code modulation key technologies research funding under the National Natural Science Foundation of distributed source coding theory . In the existing distributed source coding algorithm , the most use of the channel coding theory has proved that if the certain channel coding of a good error correction performance , it is applied to the design of the source coding algorithm can be obtained a compression coding performance. On the basis of the analysis of several existing coding algorithm , using coset division principle, IRA-LDPC code (Q-Matrix Irregular Repeat-Accumulate LDPC) the design of distributed source coding schemes with the Q matrix and the use of the IEEE802 . 16e standard in the QC-LDPC code (Quasi-Cyclic LDPC) the design of distributed source coding schemes. Distributed source coding based on LDPC code decoding , can be applied to improve the belief propagation iterative decoding method , but its complexity , this paper presents a distributed source coding bit flipping iterative decoding method the the decoding method only involves simple checksum and operators , and not too complex probability calculations , its low complexity , and easily implemented in hardware . Then we source encoding and decoding scheme of the proposed source model simulation experiments , the relationship between model CITIC source binary symmetric channel (TBinary Symmetric Channel, BSCT) and additive white Gaussian noise analog channel (Additive White Gaussian Noise Channel, AWGN Channel) . Finally, a distributed source coding and network coding (Network Coding, NC) joint coding scheme .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Information Theory > Channel coding theory
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