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兵工学报 ›› 2013, Vol. 34 ›› Issue (5): 554-560.doi: 10. 3969/ j. issn. 1000-1093. 2013. 05. 007

• 研究论文 • 上一篇    下一篇

集中插入式帧同步识别方法

张玉, 杨晓静   

  1. 解放军电子工程学院, 安徽合肥230037
  • 上线日期:2013-07-22
  • 通讯作者: 张玉 E-mail:mxie_007@ sina. Com
  • 作者简介:张玉(1962—),男,教授

Recognition Method of Concentratively Inserted Frame Synchronization

ZHANG Yu, YANG Xiao-jing   

  1. Electronic Engineering Institute of PLA, Hefei 230037, Anhui, China
  • Online:2013-07-22
  • Contact: ZHANG Yu E-mail:mxie_007@ sina. Com

摘要:

在非协作方截获的数字序列帧同步码的识别问题研究中,由于帧的长度未知、帧同步码未知,给识别带来困难。为此,提出了利用小区域检测估计帧长,利用二次滤波估计帧起始位,然后用模糊匹配识别帧同步码型的识别方法,对巴克码或m 序列进行了集中插入式帧同步识别仿真。仿真结果表明:在误码率不大于4%的情况下,上述方法对集中式插入帧同步的数据帧有较高的帧同步识别率:巴克码为80%,m 序列为78%.

关键词: 信息处理技术, 帧同步码, 识别, 小区域检测, 模糊匹配

Abstract:

A method is proposed to recognize the frame synchronization codes of the sequence intercepted by non-cooperative part. This method is to use a small area detection algorithm to estimate the frame length, then use the secondary filter to judge the start bit of frame, and finally use the fuzzy matching al- gorithm to recognize the frame synchronization code. The simulation result shows that, if the bit error rate (BER) is less than 4%, the proposed method can achieve a high recognition probability for the frame synchronization code of synchronized data frames, where the recognition probabilities for the Barker codes and m-sequences are 80% and 78%, respectively.

Key words: information processing, frame synchronization code, recognition, small area detection, fuzzy matching algorithm

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