A time-frequency approach to the adjustable bandwidth concept

Galleani, Lorenzo; Cohen, Leon; Noga, Andrew J.

doi:10.1016/j.dsp.2005.08.001

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…The Adjustable Bandwidth Concept (ABC) is a methodology developed by [7] that can be applied for the detection of wideband signals. The method process creates averages and high frequency versions (wavelet decomposition) in the frequency spectrum.…”

Section: Abc Processmentioning

confidence: 99%

The Spectral Mixture Models: A Minimum Information Divergence Approach

Irizarry¹

2010

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Using Government drawings, specifications, or other data included in this document for any purpose other than Government procurement does not in any way obligate the U.S. Government. The fact that the Government formulated or supplied the drawings, specifications, or other data does not license the holder or any other person or corporation; or convey any rights or permission to manufacture, use, or sell any patented invention that may relate to them. This report was cleared for public release by the 88 th ABW, Wright-Patterson AFB Public Affairs Office and is available to the general public, including foreign nationals. Copies may be obtained from the Defense Technical Information Center (DTIC) (http://www.dtic.mil).

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Section: Abc Processmentioning

confidence: 99%

The Spectral Mixture Models: A Minimum Information Divergence Approach

Irizarry¹

2010

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“…It has poorer time-frequency localization but less crossterm interference than either the WVD or CWD and its cross-terms are limited to regions where the signals overlap (Auger et al, 1996). The scalogram is the magnitude squared of the wavelet transform and can be used as a time-frequency distribution (Cohen, 2002;Galleani et al, 2006;Cirillo et al, 2008). Like the spectrogram, the scalogram has cross-terms that are limited to regions where the signals overlap (Auger et al, 1996;Hlawatsch and Boudreaux-Bartels, 1992).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Low Probability of Intercept Radar Signals Using the Reassignment Method

Stevens¹,

Schuckers²

2015

American Journal of Engineering and Applied Sciences

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Digital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, because of its ability to smooth out cross-term interference and improve timefrequency localization, is proposed as an improved signal analysis technique to address these deficiencies. Simulations are presented that compare time-frequency representations of the classical timefrequency techniques with those of the reassignment method. Four different low probability of intercept waveforms are analyzed (two frequency modulated continuous wave waveforms and two frequency shift keying waveforms). The following metrics are used for analysis evaluation: Percent detection, number of cross-term false positives, lowest signal-to-noise ratio for signal detection, processing time, percent error of: Carrier frequency, modulation bandwidth, modulation period, time-frequency localization (x and y direction) and chirp rate. Experimental results demonstrate that the 'squeezing' and 'smoothing' qualities of the reassignment method improve readability over the classical time-frequency analysis techniques and consequently, provide more accurate signal detection and parameter extraction in all but one of the metrics categories. 

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

Stevens¹,

Schuckers²

2016

GJRE

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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 suppresscross-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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A time-frequency approach to the adjustable bandwidth concept

Cited by 3 publications

References 15 publications

The Spectral Mixture Models: A Minimum Information Divergence Approach

The Spectral Mixture Models: A Minimum Information Divergence Approach

Analysis of Low Probability of Intercept Radar Signals Using the Reassignment Method

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

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