系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (10): 3567-3576.doi: 10.12305/j.issn.1001-506X.2024.10.33

• 通信与网络 • 上一篇    

基于两次窗口滑动运算的非等长帧同步字盲识别算法

王原卿, 呼鹏江, 杨俊安, 刘辉   

  1. 国防科技大学电子对抗学院, 安徽 合肥 230037
  • 收稿日期:2023-06-29 出版日期:2024-09-25 发布日期:2024-10-22
  • 通讯作者: 杨俊安
  • 作者简介:王原卿(2000—), 男, 硕士研究生, 主要研究方向为通信对抗
    呼鹏江(1990—), 男, 讲师, 博士, 主要研究方向为通信对抗
    杨俊安(1965—), 男, 教授, 博士, 主要研究方向为信号处理、智能对抗
    刘辉(1983—), 男, 讲师, 博士, 主要研究方向为通信对抗、智能信息处理

Blind recognition algorithm for non-equal length frame synchronization word based on two window-sliding operations

Yuanqing WANG, Pengjiang HU, Jun'an YANG, Hui LIU   

  1. Institute of Electronic Countermeasures, National University of Defense Technology, Hefei 230037, China
  • Received:2023-06-29 Online:2024-09-25 Published:2024-10-22
  • Contact: Jun'an YANG

摘要:

在非合作通信场景下, 针对现有的非等长帧同步字盲识别算法存在的抗误码性能不佳、识别速度慢和识别结果不完整的问题, 提出一种基于两次窗口滑动运算的非等长帧同步字盲识别算法。首先, 将比特流均匀切分为多个窗口, 取前两个窗口做滑动同或运算得到扩展同步字(extended synchronization word, E-SW); 然后, 利用得到的E-SW与剩余窗口分别做滑动相关性运算, 得到每个窗口对应的E-SW并组成E-SW集合; 最后, 对E-SW集合进行统计分析, 筛选出未知同步字的码字内容。仿真结果表明, 所提算法在误码率为10-2时能实现98.7%的识别准确率, 并且可以识别出未知同步字的完整码字内容。在相同准确率的情况下, 所提算法比现有算法至少能多适应0.01的误码。此外, 所提算法的识别速度较现有算法更快, 且同样适用于等长帧协议。

关键词: 非合作通信, 同步字, 非等长帧, 盲识别, 窗口滑动

Abstract:

In non-cooperative communication scenarios, existing blind recognition algorithms for non-equal length frame synchronization face significant challenges, including suboptimal bit error resilience, slow detection speed and incomplete recognition results. In order to solve these challenges, a blind recognition algorithm for non-equal length frame synchronization word based on two window-sliding operations is proposed. Firstly, it divides the bitstream into multiple windows, and uses the first two windows to obtain extended synchronization word (E-SW) through sliding XNOR operation. Then, it uses sliding correlational operation between E-SW and the remaining windows to get the E-SWs for all windows and forms the E-SW set. Finally, statistical analysis is conducted on the E-SW set to determine the codeword of unknown synchronization word. The simulation results show that the proposed algorithm has a recognition accuracy of 98.7% when the bit error rate is 10-2, and recognizes the complete codeword through unknown synchronous words. Under the same accuracy, the proposed algorithm can adapt to at least 0.01 more-bit errors than existing algorithms. In addition, the speed of the proposed algorithm is faster than existing algorithms and is applicable to equal length frame protocols.

Key words: non-cooperative communication, synchronization word, non-equal length frame, blind recognition, window-sliding

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