Detection and Parameter Extraction of Low Probability of Intercept Radar Signals using the Hough Transform

Detection and Parameter Extraction of Low Probability of Intercept Radar Signals using the Hough Transform

Dr. Daniel L. Stevens

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Stephanie A. Schuckers

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Air Force Research Laboratory

Detection and Parameter Extraction of Low Probability of Intercept Radar Signals using the Hough Transform

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Abstract

Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques, such as the Wigner-Ville distribution, Choi-Williams distribution, spectrogram, and scalogram, for the purpose of analyzing low probability of intercept radar signals (e.g. triangular modulated frequency modulated continuous wave and frequency shift keying). Although these classical time-frequency techniques are an improvement over the Fourier-based analysis, they still suffer from a lack of readability, due to cross-term interference, and a mediocre performance in low SNR environments. This lack of readability may lead to inaccurate detection and parameter extraction of these radar signals. In this paper, the use of the Hough transform, because of its ability to suppress cross-term interference, separate signals from cross-terms, and perform well in the presence of noise, is proposed as an improved signal analysis technique. With these qualities, the Hough transform has the potential to produce better readability and consequently, more accurate signal detection and parameter extraction metrics.

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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. \u201cDetection and Parameter Extraction of Low Probability of Intercept Radar Signals using the Hough Transform\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 15 (GJRE Volume 15 Issue J6).

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GJRE Volume 15 Issue J6

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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: 090609

Submission ReceivedFebruary 10, 2015
Peer Review Double Blind
Handling Editor
Accepted March 1, 2015
Published March 15, 2015

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January 17, 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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