A Novel Approach for the Characterization of Triangular Modulated Frequency Modulated Continuous Wave Low Probability of Intercept Radar Signals via Application of the Wigner-Ville Distribution
Author(s) -
Daniel L. Stevens
Publication year - 2021
Publication title -
global journal of researches in engineering
Language(s) - English
Resource type - Journals
ISSN - 2249-4596
DOI - 10.34257/gjrefvol21is2pg19
Subject(s) - frequency modulation , chirp , radar , wigner distribution function , time–frequency analysis , probability distribution , modulation (music) , signal processing , acoustics , mathematics , signal (programming language) , algorithm , bandwidth (computing) , electronic engineering , computer science , statistics , telecommunications , physics , engineering , optics , laser , quantum mechanics , quantum , programming language
Digital intercept receivers are changing from Fourier-based analysis to classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. This paper presents a novel approach of characterizing low probability of intercept triangular modulated frequency modulated continuous wave radar signals through utilization and direct comparison of the signal processing techniques Wigner-Ville Distribution versus the Reassigned Smooth Pseudo Wigner-Ville Distribution. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, chirp rate, and time-frequency localization (x and y direction). Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Reassigned Smooth Pseudo Wigner-Ville Distribution signal processing technique produced more accurate characterization metrics than the Wigner-Ville Distribution signal processing technique.
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