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FPGA-Based Wigner-Hough Transform System for Detection and Parameter Extraction of LPI Radar LFMCW Signals

Guner, Kani K.; Gulum, Taylan O.; Erkmen, Burcu


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{
  "DOI": "10.1109/TIM.2021.3060584", 
  "abstract": "Low probability of intercept (LPI) radars using linear frequency-modulated continuous waveforms (LFMCWs) is rapidly proliferating in the military domain and posing a serious challenge to conventional electronic support receivers (ESRs). In this article, we provide a practical approach that can be used in digital ESR systems for real-time LFMCW radar signal detection and parameter extraction under challenging SNR levels. We proposed a modified version of the Wigner-Ville distribution (WVD), namely, short-time Wigner distribution (STWD), postprocessing steps, e.g., column-based thresholding of STWD combined with the Hough transform (HT), and a field-programmable gate array (FPGA) design as an embedded solution with low computational complexity. The performance of the proposed system is tested with MATLAB and hardware simulations using a signal database generated with different signal-to-noise ratio (SNR) levels. The system is then embedded into a Virtex-7 FPGA where the performance evaluations showed satisfactory detection results down to -6-dB SNR level, and parameter extraction results down to -8-dB SNR level.", 
  "author": [
    {
      "family": "Guner", 
      "given": " Kani K."
    }, 
    {
      "family": "Gulum", 
      "given": " Taylan O."
    }, 
    {
      "family": "Erkmen", 
      "given": " Burcu"
    }
  ], 
  "container_title": "IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT", 
  "id": "236212", 
  "issued": {
    "date-parts": [
      [
        2021, 
        1, 
        1
      ]
    ]
  }, 
  "title": "FPGA-Based Wigner-Hough Transform System for Detection and Parameter Extraction of LPI Radar LFMCW Signals", 
  "type": "article-journal", 
  "volume": "70"
}
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