Yar, ErsinKocamış, M. B.Orduyılmaz, A.Serin, M.Efe, M.2020-01-292020-01-29201997815386730032219-5491http://hdl.handle.net/11693/52892Date of Conference: 2-6 September 2019Conference Name: 27th European Signal Processing Conference, EUSIPCO 2019In this paper, we consider automatic radar pulse detection and intra-pulse modulation classification for cognitive electronic warfare applications. In this manner, we introduce an end-to-end framework for detection and classification of radar pulses. Our approach is complete, i.e., we provide raw radar signal at the input side and produce categorical output at the output. We use short time Fourier transform to obtain time-frequency image of the signal. Hough transform is used to detect pulses in time-frequency images and pulses are represented with a single line. Then, convolutional neural networks are used for pulse classification. In experiments, we provide classification results at different SNR levels.EnglishCognitive EWPulse detectionIntra-pulse modulation classificationConvolutional neural networksConference Paper10.23919/EUSIPCO.2019.890304597890827970392076-1465