Parameter Estimation of Frequency Modulated Continuous Wave (FMCW) Radar Signal Using Wigner-Ville Distribution and Radon Transform

Abstract

Feature extraction algorithm for a time-frequency method based on Wigner-Ville Distribution (WVD) is used for detection and parameter estimation of Frequency Modulated Continuous Wave (FMCW) radar signal. The proposed method uses the Pseudo-Wigner-Ville Distribution (PWVD) as a time-frequency detection technique and Radon Transform to identify the parameter of the modulation. Radon Transform is the projection of the image intensity along a radial line oriented at a specific angle it transforms a 2-D image with lines (line-trends) into a domain of the possible line parameters. The Wigner-Ville Radon Transform (WVRT) is suboptimal in detection and parameter estimation of FMCW low probability of intercept (LPI) radar waveform. Autonomously detecting and analyzing of FMCW can eliminate the need of human intervention. The proposed algorithm can extract FMCW radar modulation parameter efficiently.