| 基于MSA的高阶调制信号比特度量算法的研究 |
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| 引用本文： | 虞明宝,刘爱军,潘小飞. 基于MSA的高阶调制信号比特度量算法的研究[J]. 军事通信技术, 2008, 0(4) |
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| 作者姓名： | 虞明宝 刘爱军 潘小飞 |
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| 作者单位： | 解放军理工大学通信工程学院研究生1队;解放军理工大学通信工程学院卫星通信系; |
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| 摘 要： | 最小和算法(MSA)折中了译码性能和运算复杂度两个方面,是低密度奇偶校验码(LDPC码)硬件实现最常用的译码算法。比特后验概率对数似然比(LLR)是LDPC码MSA译码的关键参数,现有的高阶调制信号比特后验概率LLR计算方法及简化算法都需要估计噪声方差,估计值影响译码性能。论文从分析M阶无记忆二维调制信号比特后验概率LLR通用的计算方法入手,研究了适用于MSA译码的高阶调制信号比特后验概率LLR简化算法,该算法无需估计噪声方差,进一步降低了运算量和实现复杂度。
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| 关 键 词： | 最小和算法 迭代译码 比特度量 |
Bit Metric Algorithm for High Order Modulation Signals Based on Min-sum Algorithm |
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| YU Ming-bao,LIU Ai-jun,PAN Xiao-fei. Bit Metric Algorithm for High Order Modulation Signals Based on Min-sum Algorithm[J]. Journal of Military Communications Technology, 2008, 0(4) |
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| Authors: | YU Ming-bao LIU Ai-jun PAN Xiao-fei |
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| Affiliation: | YU Ming-bao1,LIU Ai-jun2,PAN Xiao-fei2(1.Postgraduate Team 1 ICE,PLAUST,Nanjing 210007,China,2.Department of Satellite Communication ICE,PLAUST) |
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| Abstract: | Min-Sum Algorithm(MSA) balances decoding performance and operation complexity.It is the most common decoding algorithm of Low-Density Parity-Check (LDPC) codes in hardware implementation.In LDPC codes MSA decoding process Log Likelihood Ratio(LLR) of bit posterior probability is crucial parameter.The existing calculation methods and simplified algorithms of LLR of bit posterior probability have to estimate noise variable,and the result of estimation influences the decoding performance.In this paper the gene... |
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| Keywords: | min-sum algorithm iterative decoding bit metric |
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