Open AccessLow Probability of Intercept Frequency Hopping Signal Characterization Comparison Using the Wigner Ville Distribution and the Choi Williams Distribution
Author(s) -
Daniel L. Stevens,
Stephanie Schuckers
Publication year - 2018
Publication title -
global journal of research in engineering
Language(s) - English
Resource type - Journals
ISSN - 2249-4596
DOI - 10.34257/gjrefvol18is2pg1
Subject(s) - frequency modulation , frequency hopping spread spectrum , radar , probability distribution , time–frequency analysis , mathematics , modulation (music) , statistics , bandwidth (computing) , algorithm , acoustics , computer science , telecommunications , physics
Low probability of intercept radar signals, which are often challenging to detect and characterize, have as their objective ‘to see and not be seen’. Digital intercept receivers are currently moving from Fourier-based techniques to classical time-frequency techniques for the analysis of low probability of intercept radar signals. This paper presents the novel approach of characterizing low probability of intercept frequency hopping radar signals through utilization and direct comparison of the Wigner Ville Distribuion versus the Choi Williams Distribution. Two different frequency hopping low probability of intercept radar signals were analyzed (4-component and 8-component). The following metrics were used for evaluation: percent error of:carrier frequency, modulation bandwidth, modulation period, and time-frequency localization. Also used were: percent detection, lowest signaltonoise ratio for signal detection, and plot (processing) time.