| 摘要: |
| 通过分析生成On-Off Keying（OOK）信号的发射机系统的幅度调制畸变特性，阐明了OOK信号辐射源特征产生机理，建立了OOK辐射源的幅度调制畸变特性的Wiener模型，并根据信号模型应用差分进化算法完成OOK幅度畸变特性参数的估计，从而构建辐射源指纹特征完成对OOK信号辐射源的识别。仿真试验和实际数据测试表明，该算法具备OOK辐射源指纹特征提取和识别能力，对实测数据中4个OOK辐射源识别率为93%，优于基于暂态幅度特征的提取方法。 |
| 关键词: 辐射源个体识别 OOK调制 系统辨识 Wiener模型 差分进化算法 |
| DOI： |
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| 基金项目: |
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| Fingerprint Feature Extraction of OOK Radiation Source Based on Amplitude Modulation Distortion Wiener Model |
| ZHANG Shuai,HUANG Yuanling |
| (Science and Technology on Blind Signal Processing Laboratory,Chengdu 610041,China) |
| Abstract: |
| The amplitude distortion characteristics of the transmitter system that generates the on-off keying(OOK) signal are analyzed.The mechanism of the generation of OOK signal radiation source characteristics is clarified.A radiation source signal model based on amplitude characteristics is established。According to the signal model,the differential evolution algorithm is applied to estimate the OOK amplitude distortion characteristic parameters,so as to construct the radiation source fingerprint feature to complete the recognition of the OOK signal radiation source.The simulation experiment and actual data test show that the algorithm has the fingerprint feature extraction and recognition ability of OOK radiation source.The recognition rate of four OOK radiation sources in the measured data is 93%,which is better than the extraction method based on transient amplitude characteristics. |
| Key words: radiation source individual identification OOK modulation system identification Wiener model differential evolution algorithm |
《电讯技术》编辑部 