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FMCW Signal Detection and Parameter Extraction by Cross Wigner-Hough Transform

Erdogan, A. Yasin; Gulum, Taylan O.; Durak-Ata, Lutfiye; Yildirim, Tulay; Pace, Phillip E.


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{
  "@context": "https://schema.org/", 
  "@id": 49633, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Turkish Naval Res Ctr Command, TR-34890 Istanbul, Turkey", 
      "name": "Erdogan, A. Yasin"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Turkish Naval Res Ctr Command, TR-34890 Istanbul, Turkey", 
      "name": "Gulum, Taylan O."
    }, 
    {
      "@type": "Person", 
      "affiliation": "Istanbul Tech Univ, Inst Informat, TR-34469 Istanbul, Turkey", 
      "name": "Durak-Ata, Lutfiye"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Yildiz Tech Univ, Dept Elect & Commun Engn, TR-34220 Istanbul, Turkey", 
      "name": "Yildirim, Tulay"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Naval Postgrad Sch, Dept Elect & Comp Engn, Monterey, CA 93943 USA", 
      "name": "Pace, Phillip E."
    }
  ], 
  "datePublished": "2017-01-01", 
  "description": "The combination of Wigner-Ville distribution (WVD) and Hough transform (HT) has been successfully used in detection and parameter extraction of frequency modulated continuous waveform (FMCW) signals. In this paper, a combination of Cross-Wigner-Ville and HT [(CrossWigner-Hough transform (XWHT)] is proposed for detection and parameter extraction of FMCW signals with a novel methodology. The XWHT method makes use of the cross-terms created by WVD instead of trying to suppress them. Utilization of the properties of the cross-terms to detect and unveil the parameters of FMCW signals on HT space is a new approach. The performance of the method is compared with other Wigner-Hough transform-based methods in terms of transform speed, parameter extraction, and detection performance. As a result, this study proposes that the XWHT is a candidate method to be used in digital electronic support receivers' automatic signal detection and analysis capabilities due to its speed and performance.", 
  "headline": "FMCW Signal Detection and Parameter Extraction by Cross Wigner-Hough Transform", 
  "identifier": 49633, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "FMCW Signal Detection and Parameter Extraction by Cross Wigner-Hough Transform", 
  "url": "https://aperta.ulakbim.gov.tr/record/49633"
}
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