摘要
为有针对性地根据不同干扰类型选择正确的抗干扰措施,有必要对无人机数据链所处环境的干扰信号进行分析和分类识别;文章以变换域通信系统(transform domain communication system,TDCS)为载体,对无人机数据链常面临的干扰类型的自动识别进行研究,采用时域、频域、时频联合分析的方法,提出了一组对干信比变化不敏感的特征参数,并利用这组参数提出一种基于决策树理论的干扰分类识别方法,仿真结果表明,该方法能够快速准确地识别出干扰类型,具有很好的鲁棒性,并且在干信比和干噪比在0dB以上时,正确识别率均在90%以上。
In order to be targeted to select the correct anti-jamming measures depending on the interference type,it＇s necessary to analyze and classify the interference signals that the UAV data-link is often facing.This paper studies the automatic interference recognition of the UAV data-link based on the transform domain communication system（TDCS）.A group of feature parameters which are not sensitive to the variation of interference-to-signal ratio（ISR）are proposed using the time domain,frequency domain and the time-frequency domain analyzing methods.And the interference recognition methods based on the decision tree theory is also proposed according to the feature parameters.Simulations show that this method can recognize the interference type correctly with robustness.When the interference-tonoise ratio（INR）and the ISR are above 0dB,the correct recognition rates are not less than 90%.
出处
《计算机测量与控制》
2015年第11期3780-3782,共3页
Computer Measurement &Control
基金
装备预先研究项目(51325030202)
