With the development of electronic technology,the modulation mode of radar signal tends to be complicated.It is a difficult problem to identify the waveform of radar signal reliably.Among them,LFM radar signal(LFM,Frank code,P1-P4 code)is a kind of signal which is difficult to identify.Firstly,the S-Method based time-frequency distribution of the LFM radar is calculat-ed,and then the Zernike moment of the time-frequency distribution of the signal is calculated,and then it is classified and recog-nized by convolutional neural network.The experimental results show that the overall recognition rate of the signal reaches 94.33%at-2dB signal to noise ratio.
关键词
类线性调频雷达信号/时频分布/Zernike矩/卷积神经网络
Key words
linear frequency modulated radar signal/time-frequency distribution/Zernike moment/convolutional neural network
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