A complete framework of radar pulse detection and modulation classification for cognitive EW
Kocamış, M. B.
Proceedings of the 27th European Signal Processing Conference, EUSIPCO 2019
Institute of Electrical and Electronics Engineers Inc.
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In 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.
Intra-pulse modulation classification
Convolutional neural networks