基于校验方程符合度下的Turbo码编码器盲识别

发布时间：2018-06-23 23:46

本文选题：Turbo码 + 编码器　；参考：《电子与信息学报》2017年09期

【摘要】：针对目前Turbo码分量编码器参数识别算法容错性不好、计算量大的缺点,该文提出一种基于校验方程符合度的新算法。首先,根据码元约束长度较小的特点,构建出编码器生成多项式数据库,然后通过遍历多项式数据库,计算出每种多项式所对应的平均校验方程符合度值,其最大值所对应的索引号即为多项式库中的正确多项式索引号,从而完成编码多项式的识别。该算法仅仅遍历有限的多项式数据库,其计算量较小,只与截获的数据量有关;算法采用的数据为软判决信息,故其容错性能较好。仿真结果表明:在信噪比为0 d B条件下,仅需要截获10码块,交织长度为100的码元数据量,参数的识别率就能达到90%以上。
[Abstract]:A new algorithm based on the coincidence degree of check equation is proposed to overcome the shortcomings of poor fault-tolerance and large computational load in the parameter identification algorithm of Turbo component encoder. First of all, according to the small constraint length of code element, the encoder generates polynomial database. Then, by traversing the polynomial database, the correspondence value of the average check equation corresponding to each polynomial is calculated. The index number corresponding to the maximum value is the correct polynomial index number in the polynomial library, thus the identification of the coded polynomial is completed. The algorithm only traverses a limited polynomial database, and its computation is small, which is only related to the amount of intercepted data, and the data used in the algorithm is soft decision information, so its fault-tolerant performance is better. The simulation results show that under the condition of 0 dB signal-to-noise ratio (SNR), only 10 code blocks need to be intercepted, and the data amount of 100 symbols with interleaving length is 100. The recognition rate of the parameters can reach more than 90%.
【作者单位】：海军航空工程学院信息融合所;海军航空工程学院电子信息工程系;
【基金】：国家自然科学基金(91538201) 泰山学者工程专项经费(ts201511020)~~
【分类号】：TN911.22

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