Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison using the Spectrogram and the Scalogram

Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison using the Spectrogram and the Scalogram

Dr. Daniel L. Stevens

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Daniel L. Stevens

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Stephanie A. Schuckers

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Air Force Research Laboratory

Low Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison using the Spectrogram and the Scalogram

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Abstract

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 Spectrogram versus the Scalogram. Two different 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, chirp rate, and time-frequency localization (x and y direction). Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Spectrogram produced more accurate characterization metrics than the Scalogram. An improvement in performance may well translate into saved equipment and lives.

References

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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

Dr. Daniel L. Stevens. 2017. \u201cLow Probability of Intercept Triangular Modulated Frequency Modulated Continuous Wave Signal Characterization Comparison using the Spectrogram and the Scalogram\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 17 (GJRE Volume 17 Issue F2): .

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GJRE Volume 17 Issue F2
Pg. 37- 47

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification: FOR Code: 090609

Submission ReceivedDecember 7, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

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v1.2

Issue date

June 9, 2017

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Article Matrices

Total Score: 132

Country: United States

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Daniel L. Stevens, Stephanie A. Schuckers (PhD/Dr. count: 0)

View Count (all-time): 211

Total Views (Real + Logic): 3562

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Publish Date: 2017 06, Fri

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Total Views: 3562

Total Downloads: 1680

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