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