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

Guner K. K., Gulum T. O., ERKMEN B.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, cilt.70, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 70
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1109/tim.2021.3060584
  • Dergi Adı: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Field-programmable gate array (FPGA), linear frequency-modulated continuous waveform (LFMCW), low probability of intercept (LPI) radar, parameter extraction, Wigner-Hough transform (WHT), TIME-FREQUENCY-DISTRIBUTIONS, DISCRETE-TIME
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.