The Combination of Channel Codes Based on Raptor Structure and Parameter Optimizing

• Main Authors: Chang, Chun-Yi, 張峻翊
• Other Authors: Hsiao, Hsu-Feng
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/q4jmm2

碩士 === 國立交通大學 === 多媒體工程研究所 === 105 === The transmission of video content over network is an important issue nowadays, especially for Scalable Video Coding (SVC) content. The SVC encode the video into different layers which can be seen as different importances. To trasmit such data structure through unreliable channel, we use the technology of Unequal Error Protection (UEP) channel coding to encode the data with different importances. To more efficiently protect those data, we construct a new code based on structure of Raptor Codes with two individual codes, convolutional Low Density Parity Check (LDPC) codes and Layer-aligned Multipriority Rateless Codes (LMRC). We design a procedure to optimize proposed UEP Raptor Codes. In this optimization, however, we need sufficient amount of rates of convolutional LDPC codes to be the parameter choices. The exist regular method can generate a series codes with different code rates from a base matrix. However, it just provided a few number of choices. So we developed an irregular version based on regular method. With help of the proposed irregular method, we have a lot of rate choices in optimization. We designed some experiments to help us conclude some rules which can reduce the number of parameter permutations we need to search. We build an optimization procedure utilized those rules to find the best parameter setting of UEP Raptor Codes, and provide a best UEP performance under a given resource limitation.