Low Probability of Intercept Frequency Hopping Signal Characterization Comparison using the Spectrogram and the Scalogram

Low Probability of Intercept Frequency Hopping 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 Frequency Hopping Signal Characterization Comparison using the Spectrogram and the Scalogram

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Abstract

Low probability of intercept radar signals, which are often problematic to detect and characterize, have as their goal ‘to see and not be seen’. Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques for the purpose of analyzing these low probability of intercept radar signals. This paper presents the novel approach of characterizing low probability of intercept frequency hopping radar signals through utilization and direct comparison of the Spectrogram versus the Scalogram. Two different frequency hopping low probability of intercept radar signals were analyzed(4-component and 8-component). The following metrics were used for evaluation: percent error of: carrier frequency, modulation bandwidth, modulation period, and timefrequency localization. Also used were: percent detection, lowest signal-to-noise ratio for signal detection, and plot (processing) time. Experimental results demonstrate that overall, the Scalogram produced more accurate characterization metrics than the Spectrogram. An improvement in performance may well translate into saved equipment and lives.

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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. 2016. \u201cLow Probability of Intercept Frequency Hopping Signal Characterization Comparison using the Spectrogram and the Scalogram\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 16 (GJRE Volume 16 Issue J2): .

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GJRE Volume 16 Issue J2
Pg. 13- 23

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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-J Classification: FOR Code: 091599

Submission ReceivedDecember 9, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

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v1.2

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June 13, 2016

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Article Matrices

Total Score: 132

Country: United States

Subject: Global Journal of Research in Engineering - J: General Engineering

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

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Publish Date: 2016 06, Mon

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Total Views: 3767

Total Downloads: 1893

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