现代防御技术 ›› 2022, Vol. 50 ›› Issue (5): 152-159.doi: 10.3969/j.issn.1009-086x.2022.05.019

• 仿真技术 • 上一篇    

一种非协作通信信号调制方式识别方法

薛德鑫1, 单涛2, 董士军1, 张进1   

  1. 1.江苏自动化研究所,江苏 连云港 222061
    2.北京理工大学,北京 100081
  • 收稿日期:2022-04-06 修回日期:2022-05-30 出版日期:2022-10-28 发布日期:2022-11-03
  • 作者简介:薛德鑫(1991-),男,黑龙江肇东人。工程师,硕士,研究方向为电子与通信工程。
  • 基金资助:
    国家自然科学基金(62171029)

Recognition Method of Modulation Mode of Non-cooperative Communication Signal

De-xin XUE1, Tao SHAN2, Shi-jun DONG1, Jin ZHANG1   

  1. 1.Jiangsu Automation Research Institute, Jiangsu Lianyungang 222061, China
    2.Beijing Institute of Technology, Beijing 100081, China
  • Received:2022-04-06 Revised:2022-05-30 Online:2022-10-28 Published:2022-11-03

摘要:

近年对非协作通信信号的识别成为通信对抗领域的研究热点,提出一种非协作通信信号调制方式识别方法。通过信号处理算法对非协作信号进行特征参数提取,以判决树为基础,结合判别流程对信号调制方式进行识别,通过该方法可识别多种模拟调制信号及数字调制信号。对于频移键控(frequency shift keying,FSK)信号,提出通过提取基带信号采样点间相位差构建新的信号,根据构建信号的识别结果确定原信号的调制类型,避免了对先验信息的需求。提出的信号调制方式识别方法整体计算量小,具有良好的实时性。通过Matlab仿真结果表明,该方法具有良好的识别率,证明了该方法的正确性和可行性。

关键词: 通信对抗, 非协作通信信号, 调制方式识别, 特征参数, 决策树, 信号识别流程, 识别率

Abstract:

In recent years, the recognition of non-cooperative communication signals has become research focus in the field of communication countermeasures. In this paper, a recognition method of non-cooperative communication signals based on modulation is proposed. The characteristic parameters of non-cooperative communication signals are extracted by signal processing algorithm, and then the signal modulation mode is identified based on the decision tree combined with discriminant process. Various analog and digital modulation signals can be identified by this method. For frequency shift keying(FSK) signal, this paper proposes to construct a new signal by extracting the phase difference between the sampling points of the baseband signal, and the modulation type of the original signal is determined according to the recognition result of the constructed signal, avoiding the need for prior information. The signal modulation recognition method proposed in this paper has low computational cost and good real-time performance. Matlab simulation results show that this method has good recognition rate, and the correctness and feasibility of this method are proved.

Key words: communication countermeasure, non-cooperative communication signal, modulation mode recognition, characteristic parameter, decision tree, signal recognition process, recognition rate

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