A Method for Automatic Identification of Linear Frequency Modulated Radar Wave Patterns
XIA Shutao
JIN Kun
FU Yupeng
YU Wenlong
Abstract：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.
Keywords：linear frequency modulated radar signaltime-frequency distributionZernike momentconvolutional neural network
Publication Date：2024-02-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 96-99,142 )