Abstract

Low probability of intercept radar signals which are often problematic to detect and characterize have as their goal to see and not be seen Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques for the purpose of analyzing these 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 Spectrogram versus the Scalogram 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 timefrequency localization Also used were percent detection lowest signal-to-noise ratio for signal detection and plot processing time Experimental results demonstrate that overall the Scalogram produced more accurate characterization metrics than the Spectrogram An improvement in performance may well translate into saved equipment and lives