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针对非合作无人机信号盲侦测领域中的信号检测和识别问题，在分析了其图传信号时频域及高阶累积量特性后，提出了一种基于信号高阶累积量的无人机信号盲侦测方法。在短时傅里叶变换(Short-Time Fourier Transform, STFT)信道化结构下完成信号的时频域转换，统计其功率谱均值生成动态检测门限，判断信号存在性、信号个数及其带宽信息；根据功率谱计算峰度特征，在信号存在性、信号带宽及峰度值3个维度下联合判断是否存在无人机图传信号。通过采集真实无人机信号并进行数字仿真的方式，验证了所提方法的有效性。
Abstract：For the problem of signal detection and identification in the field of blind detection for non-cooperative UAVs, a method of UAVs signal blind detection based on signal higher-order cumulants is proposed after analyzing the characteristics of time-frequency domain and higher-order cumulants of image transmission signal. In this method, the time-frequency domain conversion of the signal is completed under the Short-Time Fourier Transform(STFT) channelized structure. Then, the mean value of the power spectrum is calculated to generate a dynamic detection threshold to determine the existence of the signal, the number of signals and the bandwidth information. Also, the kurtosis characteristics are calculated according to the power spectrum. Finally, the existence of the signal, the signal bandwidth and the kurtosis value are three dimensions to determine whether the UAV image transmission signal exists. The effectiveness of this method is verified by collecting real UAV signals and conducting digital simulations.
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基本信息:
DOI：
中图分类号:TN911.7;V279
引用信息:
[1]史方明,陈格格,陈祎等.基于信号高阶累积量的无人机信号盲侦测方法[J].无线电工程,2025,55(06):1223-1229.
基金信息: