期刊文献+

基于校验子的Turbo码编译码原理

Encode and Decode of Turbo code Base on Syndromes
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摘要 在Turbo码的编译码过程中,为了降低计算码字的复杂度,减少在公共信道中信息的泄露,采用一种计算Turbo码字的新的方法,即利用离散变量的线性卷积和二进制解卷积的方法完成Turbo码的码字生成。在译码过程中,使用了校验子和边信息联合的译码方式,使得信息在公共信道中得以保护和约束。仿真结果表明,可分别在信噪比1dB的条件下实现100000个二进制序列的误码率达到了10-4以下。 In Turbo code encoding and decoding processes,in order to reduce the computational complexity of codeword,and the leakage of information in the public channel.This article uses a new method to calculate the codeword,that is,using the linear convolution and the binary deconvolution methods of the discrete variables to generate Turbo codeword.In the decoding process,using the syndromes and side-information decode to protect and restrict the information in the public channel.The simulation results show that the decoding can reach 10-4 when EbN0 is 1dB whilst the block size is 100000.
出处 《计算机安全》 2012年第7期17-20,共4页 Network & Computer Security
基金 量子光学与光量子器件国家重点实验室开放课题。课程编号201003
关键词 TURBO码 卷积码 离散线性卷积 校验子网格 对数最大后验概率译码算法 Jrbo codes Convolution codes Discrete linear convolution Syndrome Log- M&ximum A Posteriori algorithm
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参考文献11

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