Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Narayanan, Ram M.; Shastry, Mahesh C.; Chen, Pin-Heng; Levi, Mark

doi:10.2528/pierb10022206

Cited by 49 publications

(31 citation statements)

References 24 publications

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“…There have been many studies on radar target recognition [1][2][3][4][5][6][7][8][9] and detection [10][11][12][13][14][15][16][17][18][19][20][21][22][23]. In natural frequency-based radar signal processing, accurate estimation of natural frequency is quite important [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

Lee¹,

Jeong²

2013

PIER

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Abstract-We address the performance analysis of the natural frequency-based radar target detection in this paper. We show how to calculate the detection performance recursively by making a polynomial approximation of the probability density function (PDF) of the standard normal distribution. Why we make a polynomial approximation of the PDF of the standard normal distribution is that the PDF of the standard normal distribution is not analytically integrable but that the polynomial is definitely analytically integrable, which makes it possible to calculate the detection performance without look-up table. The Taylor polynomial is used for an approximation of the PDF of the standard normal distribution. We derive the error of the approximation, the bound of the error of approximation, and the optimal polynomial approximation in the sense that the bound of the error of the approximation is minimized. We validate the derived expressions via numerical simulation.

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Section: Introductionmentioning

confidence: 99%

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

Lee¹,

Jeong²

2013

PIER

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“…Microwave characterization and detection of hidden or partially obscured targets, in studies such as demining or radar target recognition [1][2][3][4], through-wall imaging for fire-rescue operations and other emergency reliefs [5][6][7], pipeline localization [8], botanical applications [9][10][11] have received considerable attention recently, especially in the development for nondestructive and non-invasive imaging systems such as biomedical diagnostics [12][13][14][15][16] and detection of contaminants in food products [17].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on a Flanged Parallel-Plate Dielectric Waveguide Probe for Detection of Buried Inclusions

Zhang¹,

Tan²,

Tan³

2011

PIER

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Abstract-This paper presents an experimental study of a flanged parallel-plate dielectric waveguide (PPDW) probe for detecting dielectric inclusions in a dielectric host medium, with different electrical properties from the inclusions. The S-parameter signals from an inclusion (modelled as a conducting sphere) are shown to have resonant characteristics, from which the size and location of the inclusion can be deduced. As an example of a possible application for this technique, we use parameters of host medium and inclusions relevant for detection of tumors in body tissues. An experimental study was performed on solid tissue-simulating phantoms with embedded conducting dielectric inclusions. The measurements show promising results.

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“…Since the HHT was first proposed, it has been used in various fields that deal with nonstationary signals because of its high-resolution characteristic [9][10][11][12][13][14]. According to the works related to the JTFA using the HHT, the obtained instantaneous Doppler frequency indicated accurate timedependent characteristics of the Doppler signatures.…”

Section: Introductionmentioning

confidence: 99%

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

Park¹,

Lim²,

Myung³

2012

PIER

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Abstract-Joint time-frequency analysis (JTFA) is applied to micro Doppler signatures generated by jet engine modulation (JEM) effect using a modified Hilbert-Huang transform (HHT). The modified HHT is developed to improve the JTFA results of measured JEM signals. Wavelet decomposition (WD) with Meyer wavelet function is considered as a supplementary process of the HHT. The modified HHT examines a signature obtained from simulation of a jet engine CAD model, and is then applied to the signatures obtained from measurement of two realistic jet engine models. The modified HHT gives more improved JTFA results of the measured JEM signals than those from the simple short-time Fourier transform -(STFT) based analysis. The modified HHT-based JTFA approach is expected to be significantly useful for enabling high-quality radar target recognition in a real environment by complementing other traditional analyses.

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Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Cited by 49 publications

References 24 publications

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

Experimental Study on a Flanged Parallel-Plate Dielectric Waveguide Probe for Detection of Buried Inclusions

Modified Hilbert-Huang Transform and Its Application to Measured Micro Doppler Signatures From Realistic Jet Engine Models

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