A Method for Automatic Identification of Linear Frequency Modulated Radar Wave Patterns
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.
linear frequency modulated radar signaltime-frequency distributionZernike momentconvolutional neural network
万方数据
维普
