Educational Journey
Clarkson University
Ph.D., B.S. in Electrical Engineering, M.S. in Physics β’ Electrical Engineering
Experience
United States Air Force Research Laboratory
0 - 0Clarkson University
0 - 0Research
A Unique Method for Detecting and Characterizing Low Probability of Intercept Frequency Hopping Radar Signals by means of the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution
Low probability of intercept radar signals, which are may times difficult to detect and characterize, have as their goal Γ’β¬Λto see but not be seenΓ’β¬β’. Digital intercept receivers are currently moving away from Fourier-based techniques and toward classical time-frequency techniques for analyzing low probability of intercept radar signals. This paper brings forth the unique approach of both detecting and characterizing low probability of intercept frequency hopping radar signals by employing and comparing the Wigner-Ville Distribution and the Reassigned Smoothed Pseudo Wigner-Ville Distribution. Four-component frequency hopping low probability of intercept radar signals were analyzed. 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 signal-to-noise ratio for signal detection, and relative processing time. Experimental results demonstrate that overall, the Reassigned Smoothed Pseudo Wigner-Ville Distribution produced more accurate characterization metrics than the Wigner-Ville Distribution. An improvement in performance could potentially translate into saved equipment and lives.
Joint Sequential Use of the Reassigned Smoothed Pseudo Wigner
Digital intercept receivers are moving away from Fourier-based analysis towards classical time-frequency analysis techniques along with other novel analysis techniques for the purpose of analyzing low probability of intercept radar signals. This paper presents a novel approach of the joint sequential use of the Reassigned Smooth Pseudo Wigner-Ville Distribution and the Hough Transform versus the Reassigned Smooth Pseudo Wigner-Ville Distribution for characterizing low probability of intercept triangular modulated frequency modulated continuous wave radar signals. The metrics used for evaluation were - percent error of the chirp rate, percent detection, and lowest signal-to-noise ratio for signal detection. Experimental results demonstrate that overall, the joint sequential use of the Reassigned Smooth Pseudo Wigner-Ville Distribution and the Hough Transform signal processing techniques produced more accurate metrics than the Reassigned Smooth Pseudo Wigner-Ville Distribution signal processing technique. An improvement in the accuracy of metrics may well equate to an increase in personnel safety.
Detection and Characterization of Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Radar Signals in Low SNR Environments Using the Scalogram and the Reassigned Scalogram
Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques for the purpose of analyzing low probability of intercept radar signals. This paper presents the novel approach of characterizing low probability of intercept frequency modulated continuous wave radar signals through utilization and direct comparison of the Scalogram versus the Reassigned Scalogram. Triangular modulated frequency modulated continuous wave signals were analyzed. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, and chirp rate. Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and time-frequency localization (x and y direction). Experimental results demonstrate that overall, the Reassigned Scalogram produced more accurate characterization metrics than the Scalogram.
