| 引用本文： |
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洪泽坤,徐艳云,黄伟庆,李婷婷,于超.基于功率谱熵的隐蔽通信信号检测技术研究[J].信息安全学报,已采用 [点击复制]
- hong zekun,Xu Yanyun,Huang Weiqing,Li Tingting,Yu Chao.Research on Covert Communication Signal Detection Technology Based on Power Spectrum Entropy[J].Journal of Cyber Security,Accept [点击复制]
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| 摘要: |
| 针对复杂电磁环境下，低功率隐蔽通信信号检测率低这一可能造成电磁安全风险的问题，本文提出了一种基于频域功率谱信息熵的双门限隐蔽通信信号检测算法，在对信息熵模型进行理论推导的基础上，利用信号功率谱的信息熵作为检验统计量，构造双判决门限，实现了强干扰和低信噪比背景下，对隐藏的低功率微弱信号的盲检测。仿真和实测结果表明，在接收信噪比SNR=-10dB时，信号的检测率大于90%，优于其他传统算法，大大提升了低信噪比隐蔽信号的检测率。在此基础上，提出了基于频谱迹线的分阶段频域信息熵检测方法，实现对大带宽内隐蔽通信信号个数和占用频段的估计，实测实验结果表明，该方法能在宽带范围内准确估计信号个数和占用频段，在SNR=-5dB时，准确率大于80%。 |
| 关键词: 电磁空间安全 微弱信号检测 隐蔽通信 信息熵 频谱感知 频谱监测 |
| DOI：10.19363/J.cnki.cn10-1380/tn.2023.08.21 |
| 投稿时间：2021-03-15修订日期：2021-04-23 |
| 基金项目:中国科学院战略性先导科技专项 |
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| Research on Covert Communication Signal Detection Technology Based on Power Spectrum Entropy |
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hong zekun, Xu Yanyun, Huang Weiqing, Li Tingting, Yu Chao
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| (Institute of Information Engineering，Chinese Academy of Sciences) |
| Abstract: |
| Aiming at the problem of electromagnetic space of low-power convert communication signals detection in complex electromagnetic environments, this paper proposes a double-threshold convert communication signal detection algorithm based on the information entropy of the frequency-domain power spectrum. Based on the theoretical derivation of the information entropy model, the information entropy of the power spectrum is used as a test statistic, and a double decision threshold is constructed to realize the blind detection of hidden low-power weak signals under the background of strong interference and low signal-to-noise ratio. Simulation and actual measurement results show that the detection rate of signals is better than other traditional algorithms when SNR=-10dB, which greatly improves the detection rate of low SNR signals. On this basis, a segmented frequency domain information entropy detection method based on spectrum trace line is proposed to realize the estimation of the number of covert communication signals in a large bandwidth and the occupied frequency band. The experimental results show that the method can accurately estimate the number of signals and the occupied frequency band in the wideband range, and the detection rate is greater than 80% under SNR=-5dB. |
| Key words: electromagnetic space security weak signal detection convert communication information entropy spectrum sensing spectrum monitoring |
