低信噪比下归零Turbo码码长及其帧同步识别

吴昭军; 张立民; 钟兆根; 于柯远; 杨芸丞

doi:10.11999/JEIT180903

低信噪比下归零Turbo码码长及其帧同步识别

doi: 10.11999/JEIT180903

1.
海军航空大学信息融合研究所烟台 264001
2.
海军航空大学航空基础学院烟台 264001

基金项目: 国家自然基金(61179016)，泰山学者工程专项(ts201511020)

详细信息

作者简介:
吴昭军：男，1992年生，博士生，研究方向为信道编码识别

张立民：男，1966年生，教授，博士生导师，研究方向为卫星信号处理及应用

钟兆根：男，1984年生，博士，讲师，研究方向为扩频信号处理

于柯远：男，1992年生，博士生，研究方向为信道编码识别

杨芸丞：男，1994年生，硕士生，研究方向为扩频通信

通讯作者:
张立民　iamzlm@163.com

中图分类号: TN911.7
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出版历程
- 收稿日期: 2018-09-20
- 修回日期: 2019-01-15
- 网络出版日期: 2019-04-02
- 刊出日期: 2019-09-10

Blind Recognition of Code Length and Synchronization of Turbo Codes on Trellis Termination at Low SNR

1.
Department of Information Fusion, Naval Aviation University, Yantai 264001, China
2.
School of Aviation Basis, Naval Aviation University, Yantai 264001, China

Funds: The National Natural Science Foundation of China (61179016), Taishan Scholar Special Foundation (ts201511020)

摘要

摘要: 针对目前高斯消元法在归零Turbo码长、帧同步等参数识别过程存在容错性能低且计算复杂度高的缺点，该文提出一种低信噪比(SNR)下基于差分似然差(DLD)的识别算法。首先通过定义差分似然差的概念，利用归零Turbo码帧头两码元差分似然差为正值(“+”)的特性，构建分析矩阵实现码长的识别；其次，提出基于最小错误判决准则下的差分似然差“+”位置门限判决方法，完成帧同步；最后，从工程实际出发，遍历寄存器个数的可能值，实现码率、寄存器个数以及交织长度识别。仿真实验表明：所提算法对于归零Turbo码码长、帧同步等参数识别有效，差分似然差“+”位置分布与分析的数据结构特征一致，判决门限能够有效判断差分似然差“+”位置，同时，算法容错性能较强，在信噪比为–5 dB条件下，码长、帧同步等参数识别率能够达到90%以上，并且算法的复杂度远小于现有算法。
- 归零Turbo码 /
- 差分似然差 /
- 帧结构特征 /
- 码长 /
- 帧同步 /
- 识别
Abstract: In order to overcome the shortcomings of low fault-tolerance and high computational complexity in the process of parameter identification such as code length and synchronization of Turbo code, a new algorithm based on Differential Likelihood Difference (DLD) at low Signal-to-Noise Ratio (SNR) is proposed. Firstly, the concept of DLD is defined, and the analysis matrix is constructed to identify the code length by using the characteristic that the DLD between two codes in Turbo frame terminal is positive ("+"); Secondly, a method based on the minimum error decision criterion to decide DLD "+" position is proposed to complete frame synchronization. From the engineering practice, the possible values of the number of registers are traversed to realize the recognition of the code rate, the number of registers and the interleaving length. Simulation results show that the proposed algorithm is effective in identifying parameters such as code length and frame synchronization, the position distribution of DLD "+" is consistent with the data structure characteristics of the analysis, and the threshold can effectively determine the position of DLD "+". At the same time, the algorithm has strong fault-tolerant performance. Under the condition of SNR –5 dB, the identification of code length, frame synchronization and other parameters can reach more than 90%, and the complexity of the algorithm is far less than the existing algorithms.
- Turbo codes on trellis termination /
- Differential Likelihood Difference (DLD) /
- Frame structure characteristics /
- Code length /
- Frame synchronization /
- Recognition

HTML全文

图 1 归零Turbo码编码结构

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图 2 RSC码编码结构图

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图 3 帧同步头数据结构特征

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图 4 帧同步末尾数据结构特征

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图 5 不同列数下得到差分似然差值

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图 6 实际码长大小对算法性能影响

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图 7 不同M对算法性能影响

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图 8 4种算法的抗噪声性能对比

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