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基于线性突变调频信号调制的仿鲸声伪装通信信号的识别方法

乔飞 蒋佳佳 李遥 李春月 李卓尘 段发阶 傅骁

测试科学与仪器2023,Vol.14Issue(1):25-34,10.
测试科学与仪器2023,Vol.14Issue(1):25-34,10.DOI:10.3969/j.issn.1674-8042.2023.01.004

基于线性突变调频信号调制的仿鲸声伪装通信信号的识别方法

Recognition method for bionic camouflage cetacean whistle communication trains modulated by abrupt LFM signals

乔飞 1蒋佳佳 1李遥 2李春月 1李卓尘 1段发阶 1傅骁1

作者信息

  • 1. 天津大学精密测量技术与仪器国家重点实验室,天津300072
  • 2. 中国船舶工业系统工程研究院,北京100036
  • 折叠

摘要

Abstract

Bionic covert camouflage underwater acoustic communication has recently attracted great attention.However,we have not found relevant methods or literatures to recognize these bionic camouflage communication signals(BCCS)in the area of anti-reconnaissance.Focused on recognizing the BCCS,we propose a recognition method based on the statistics of multi-features of the cetacean whistle time-frequency contour(TFC)to recognize the camouflaged whistle communication train(CWCT)which is modulated by abrupt linear frequency modulation(LFM)signals.Firstly,by analyzing the characteristics of distributions of real and bionic TFCs,we know that the real whistle is a sweep signal whose TFC is continuously distributed.According to the coding principle,the CWCTs use piecewise LFM signals with different time lengths to imitate whistle TFC to transmit information.Considering the multi-features of non-cooperative signal through screening for the abrupt shifts in frequency,the detection results of linear correlation of instantaneous frequency curves(IFCs)and the statistics of time lengths of piecewise LFM,we can recognize the CWCTs.The simulation results show that the proposed recognition method can achieve excellent accuracy up to 80%under different conditions,including SNRs,coding times,coding quantities and underwater acoustic channels.It achieves simple and effective extraction of whistle sound and its TFC,which is of reference significance to recognize the BCCSs modulated by other coding methods.

关键词

仿生伪装通信/线性调频信号/信号识别/时频特征提取/多特征识别

Key words

bionic camouflage communication signal(BCCS)/linear frequency modulation(LFM)signal/signal recognition/extraction of time-frequency feature/multi-feature recognition

引用本文复制引用

乔飞,蒋佳佳,李遥,李春月,李卓尘,段发阶,傅骁..基于线性突变调频信号调制的仿鲸声伪装通信信号的识别方法[J].测试科学与仪器,2023,14(1):25-34,10.

基金项目

National Natural Science Foundations of China(Nos.61971307,61905175,51775377) (Nos.61971307,61905175,51775377)

National Key Research and Development Plan Project(No.2020YFB2010800) (No.2020YFB2010800)

Fok Ying Tung Education Foundation(No.171055) (No.171055)

China Postdoctoral Science Foundation(No.2020M680878) (No.2020M680878)

Guangdong Province Key Research and Development Plan Project(No.2020B0404030001) (No.2020B0404030001)

Tianjin Science and Technology Plan Project(No.20YDTPJC01660) (No.20YDTPJC01660)

Project of Foreign Affairs Committee of China Aviation Development Sichuan Gas Turbine Research Institute(Nos.GJCZ-2020-0040,GJCZ-2020-0041) (Nos.GJCZ-2020-0040,GJCZ-2020-0041)

测试科学与仪器

OACSCD

1674-8042

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