Basic Info
Dr. Daniel L. Stevens
Fellow Member
Ph.D. in Electrical Engineering, M.S. in Physics, B.S. in Electrical Engineering, Air Force Research Laboratory, Rome, NY
Institution
Air Force Research Laboratory, Rome, NY
Stream
Engineering and Research
Department
Electrical Engineering
, and holds the patents:
A. Noga, D. Stevens, “Apparatus for Efficient Measurement of Tone Frequency, Amplitude, and Phase,” U.S. Patent 10,036,769; 21 July 2018., A. Noga, D. Stevens, “Apparatus for Frequency Measurement,” U.S. Patent 9,778,298; 03 October 2017., A. Noga, D. Stevens, “Apparatus for Efficient Frequency Measurement,” U. S. Invention Disclosure; 12 June 2015.
Awards
Rome Laboratory Patent Award, 2018, NUWC Technical Achievement Award, 1989, 1991, 1994, 1997, 2001
Educational Journey
Clarkson University, Ph.D. in Electrical Engineering, 2010 Old Dominion University, M.S. in Physics, 1992 Clemson University, B.S. in Electrical Engineering, 1985
Interests
Radar Signal Processing
Sonar Signal Processing
Spectral Detection and Estimation
Time- Frequency Analysis
Statistical Analyses
Machine Learning and Artificial Intelligence in Radar
Waveform Diversity and Design
Notable Publications
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 u2018to see but not be seenu2019. 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 relativenprocessing time.
Publication
1. A New Signal Processing Paradigm to Emulate Human-like Decision Making 2. “Joint Sequential Use of the Reassigned Smoothed Pseudo Wigner-Ville Distribution and the Hough Transform vs. the Reassigned Smoothed Pseudo Wigner-Ville Distribution for Detecting and Characterizing Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Radar Signals in Low Signal to Noise Ratio Environments 3. 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 4. Novel RF Spectrum Characterization Using Information Measures 5. 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 and the Reassigned Smoothed Pseudo Wigner-Ville Distribution 6. Detection and Parameter Extraction of Low Probability of Intercept Frequency Hopping Signals using the Spectrogram and the Reassigned Spectrogram