@InProceedings{8903045,
  author = {E. Yar and M. B. Kocamis and A. Orduyilmaz and M. Serin and M. Efe},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {A Complete Framework of Radar Pulse Detection and Modulation Classification for Cognitive EW},
  year = {2019},
  pages = {1-5},
  abstract = {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.},
  keywords = {convolutional neural nets;electronic warfare;Fourier transforms;Hough transforms;military radar;pulse modulation;radar computing;radar detection;radar signal processing;signal classification;time-frequency analysis;cognitive EW;automatic radar pulse detection;intra-pulse modulation classification;cognitive electronic warfare applications;end-to-end framework;categorical output;short time Fourier transform;time-frequency image;radar pulse detection;radar pulse classification;raw radar signal classification;convolutional neural networks;Hough transform;Radar detection;Signal to noise ratio;Feature extraction;Radar imaging;Frequency modulation;Cognitive EW;pulse detection;intra-pulse modulation classification;convolutional neural networks},
  doi = {10.23919/EUSIPCO.2019.8903045},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533677.pdf},
}

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B.","Orduyilmaz, A.","Serin, M.","Efe, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["E."],"propositions":[],"lastnames":["Yar"],"suffixes":[]},{"firstnames":["M.","B."],"propositions":[],"lastnames":["Kocamis"],"suffixes":[]},{"firstnames":["A."],"propositions":[],"lastnames":["Orduyilmaz"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Serin"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Efe"],"suffixes":[]}],"booktitle":"2019 27th European Signal Processing Conference (EUSIPCO)","title":"A Complete Framework of Radar Pulse Detection and Modulation Classification for Cognitive EW","year":"2019","pages":"1-5","abstract":"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. 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Yar and M. B. Kocamis and A. Orduyilmaz and M. Serin and M. Efe},\n booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},\n title = {A Complete Framework of Radar Pulse Detection and Modulation Classification for Cognitive EW},\n year = {2019},\n pages = {1-5},\n abstract = {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. 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