Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison Using the Wigner Ville Distribution and the Choi Williams Distribution

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Daniel L. Stevens
Daniel L. Stevens

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Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison Using the Wigner Ville Distribution and the Choi Williams Distribution

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Abstract

Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical timefrequency 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 triangular modulated frequency modulated continuous wave radar signals through utilization and direct comparison of the Wigner Ville Distribution versus the Choi Williams Distribution. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, chirp rate, and time-frequency localization (x and y direction). Also used were: percent detection, lowest signal-tonoise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Wigner Ville Distribution produced more accurate characterization metrics than the Choi Williams Distribution. An improvement in performance may well translate into an increase in personnel safety.

References

26 Cites in Article
  1. L Anjaneyulu,N Murthy,N Sarma (2009). Identification of LPI Radar signals by higher order spectra and neural network techniques.
  2. Boualem Boashash (2003). Preface to the First Edition.
  3. H Choi,W Williams (1989). Improved Time-Frequency Representation of Multicomponent Signals Using Exponential Kernels.
  4. T Gulum (2007). Autonomous Non-Linear Classifications of LPI Radar Signal Modulations.
  5. T Gulum,P Pace,R Cristi (2006). Extraction of Polyphase Radar Modulation Parameters Using a Wigner-Ville Distribution-Radon Transform.
  6. S Han,H Hong,D Seo,J Choi (2000). Target Position Extraction Based on Instantaneous Frequency Estimation in a Fixed-Reticle Seeker.
  7. F Hlawatsch,G Boudreaux-Bartels (1992). Linear and Quadratic Time-Frequency Signal Representations.
  8. Y Liang,L Zhang,M Xing,Z Bao (2009). High-Speed Ground Moving Target Detection Research Using Triangular Modulation FMCW.
  9. W Li,M Dan,X Wang,D Li,G Wang (2008). Fast Estimation Method and Performance Analysis of Frequency Modulation Rate Via RAT.
  10. X Li,G Bi (2008). A New Reassigned Time -Frequency Representation.
  11. Yingxiang Li,Xianci Xiao (2003). Recursive filtering Radon-Ambiguity Transform algorithm for detecting multi-LFM signals.
  12. P Milne,P Pace (2002). Wigner distribution detection and analysis of FMCW and P-4 polyphase LPI waveforms.
  13. A Ozdemir (2003). Time-Frequency Component Analyzer.
  14. P Pace (2009). Detecting and Classifying Low Probability of Intercept Radar.
  15. A Papandreou,G Boudreaux-Bartels,S Kay (1994). Detection and estimation of generalized chirps using time-frequency representations.
  16. S Qian (2002). Introduction To Time-Frequency and Wavelet Transforms.
  17. Rangaraj M. Rangayyan,Sridhar Krishnan (2001). Feature identification in the time–frequency plane by using the Hough–Radon transform.
  18. J Stephens (1996). Advances in Signal Processing Technology for Electronic Warfare.
  19. T Upperman (1920). ELINT Signal Processing Using Choi-Williams Distribution on Reconfigurable Computers for Detection and Classification of LPI Emitters.
  20. Yong Wang,Yi-Cheng Jiang (2008). Detection and Parameter Estimation of Multicomponent LFM Signal Based on the Cubic Phase Function.
  21. P Wang,H Li,I Djurovic,B Himed (2010). Integrated Cubic Phase Function for Linear FM Signal Analysis.
  22. G Wei,S Wu,E Mao (2003). Analysis of Multicomponent LFM Signals Using Time-Frequency and the Gray-Scale Inverse Hough Transform.
  23. R Wiley (2006). ELINT: The Interception and Analysis of Radar Signals.
  24. W Williams,J Jeong (1992). Reduced Interference Time-Frequency Distributions.
  25. K Wong,T Davidson,S Abelkader (2009). Detection of Low Probability of Intercept Radar Signals.
  26. Xiang-Gen Xia,V Chen (1999). A quantitative SNR analysis for the pseudo Wigner-Ville distribution.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Daniel L. Stevens. 2019. \u201cLow Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison Using the Wigner Ville Distribution and the Choi Williams Distribution\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 19 (GJRE Volume 19 Issue F4): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 290903
Version of record

v1.2

Issue date

September 20, 2019

Language
en
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Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical timefrequency 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 triangular modulated frequency modulated continuous wave radar signals through utilization and direct comparison of the Wigner Ville Distribution versus the Choi Williams Distribution. The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, chirp rate, and time-frequency localization (x and y direction). Also used were: percent detection, lowest signal-tonoise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Wigner Ville Distribution produced more accurate characterization metrics than the Choi Williams Distribution. An improvement in performance may well translate into an increase in personnel safety.

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Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison Using the Wigner Ville Distribution and the Choi Williams Distribution

Daniel L. Stevens
Daniel L. Stevens

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