A Complete Framework of Radar Pulse Detection and Modulation Classification for Cognitive EW

Creative Commons License

Yar E., Kocamis M. B., Orduyilmaz A., Serin M., EFE M.

27th European Signal Processing Conference (EUSIPCO), A-Coruna, İspanya, 2 - 06 Eylül 2019 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.23919/eusipco.2019.8903045
  • Basıldığı Şehir: A-Coruna
  • Basıldığı Ülke: İspanya
  • Anahtar Kelimeler: Cognitive EW, pulse detection, intra-pulse modulation classification, convolutional neural networks, ATOMIC DECOMPOSITION
  • Ankara Üniversitesi Adresli: Evet

Özet

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.