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

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

Dr. Daniel L. Stevens

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Daniel L. Stevens

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Air Force Research Laboratory

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

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L Anjaneyulu,N Murthy,N Sarma (2009). Identification of LPI Radar signals by higher order spectra and neural network techniques.
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Boualem Boashash,Braham Barkat (2001). Introduction to Time-Frequency Signal Analysis.
R Wiley (2006). ELINT: The Interception and Analysis of Radar Signals.
William Williams,J Jeong (1992). Discrete Reduced Interference Distributions.
Xiang-Gen Xia,V Chen (1999). A quantitative SNR analysis for the pseudo Wigner-Ville distribution.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

Dr. Daniel L. Stevens. 2026. \u201cA 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\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 22 (GJRE Volume 22 Issue F3): .

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GJRE Volume 22 Issue F3
Pg. 1- 10

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: DDC Code: 621.3848 LCC Code: TK6592.S95

Submission ReceivedSeptember 15, 2022
Peer Review Double Blind
Handling Editor
Accepted September 23, 2022
Published September 30, 2022

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v1.2

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October 10, 2022

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