基于变长Turbo码的低复杂度联合信源信道译码 |
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作者姓名: | 陈绍宏 张灿 凃国防 霍岳恒 |
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作者单位: | 1. 中国科学院研究生院信息科学与工程学院, 北京 100049;
2. 中国科学院研究生院信息安全国家重点实验室, 北京 100049 |
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基金项目: | 国家自然科学基金(61032006,60773137,60972067)和国家专用项目(2069901)资助 |
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摘 要: | 基于变长Turbo码的联合信源信道译码通过构造联合译码平面网格图,具有比比特级译码更好的性能.但平面网格图复杂,使变长Turbo码译码复杂度高.基于此,构造了一个空间网格图,提出基于变长Turbo码的低复杂度联合信源信道译码方法.仿真结果表明,该算法比平面网格图计算复杂度减少约3.8%,在SER(symbol error ratio)为10-4时,获得Eb/N0增益约为0.2dB.
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关 键 词: | 联合信源信道编译码 变长Turbo码 空间网格图 VLS-APP |
收稿时间: | 2010-04-26 |
修稿时间: | 2010-05-10 |
Low-complexity joint source-channel decoding based on variable length encoded Turbo codes |
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Authors: | CHEN Shao-Hong ZHANG Can TU Guo-Fang HUO Yue-Heng |
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Institution: | 1. School of Information Science and Engineering, Graduate University, Chinese Academy of Sciences, Beijing 100049, China;
2. State Key Laboratory of Information Security, Beijing 100049, China |
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Abstract: | Variable length encoded Turbo codes (VL Turbo codes) with constructed joint decoding plane trellis has better decoding performance than the bit-level decoding algorithm. However the plane trellis is complicated, resulting in a high decoding complexity of VL Turbo codes. We construct a space trellis and propose a low-complexity JSCD approach based on VL Turbo codes. Simulation results show that the proposed approach reduces the decoding complexity by 3.8%, compared to the plane trellis, and the gain of Eb/N0 is about 0.2dB at SER=10-4. |
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Keywords: | JSCC/D VL Turbo codes space trellis VLS-APP |
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