&lt;title&gt;RADAR flashlight for through-the-wall detection of humans&lt;/title&gt;

Greneker, Eugene F.

doi:10.1117/12.327172

Cited by 54 publications

(34 citation statements)

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“…For the proposed aperture synthesis scheme to work, the scene being imaged should not, however, change during the observation period using the entire transmit and receive array locations for imaging. In through-the-wall microwave imaging applications [13][14][15][16][17][18], the velocities of the targets involved are small and satisfy this condition. Hence, moving targets will be treated as stationary targets during the observation period, and we can ignore the terms involving v 0 and its powers in (7).…”

Section: A System Modelmentioning

confidence: 99%

Design and implementation of near-field, wideband synthetic aperture beamformers

Ahmad

Frazer

Kassam

et al. 2004

IEEE Trans. Aerosp. Electron. Syst.

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A coarray-based near-field, wideband synthetic aperture beamformer using stepped-frequency signal synthesis and post-data acquisition processing is presented. While coarray techniques offer significant reduction in the number of array elements for a given angular resolution, the hybrid subarray-stepped frequency realization of wideband systems simplifies implementations and offers flexibility in beamforming. Proof of concept is provided using real data collected in an anechoic chamber for several pulse shapes and array weightings. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.This journal article is available at ScholarlyCommons: http://repository.upenn.edu/ese_papers/37 Proof of concept is provided using real data collected in an anechoic chamber for several pulse shapes and array weightings.

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Section: A System Modelmentioning

confidence: 99%

Design and implementation of near-field, wideband synthetic aperture beamformers

Ahmad

Frazer

Kassam

et al. 2004

IEEE Trans. Aerosp. Electron. Syst.

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“…Doppler-radar was first demonstrated for remotely monitoring human activity in [1,2]. SAR imaging and range detection [3][4][5][6] do not work well to distinguish human targets from cluttered background.…”

Section: Introductionmentioning

confidence: 99%

“…Simple systems proposed in [2,7,9] for the detection of human Doppler utilize time domain, frequency domain [9], and spectrogram based approaches [7,10]. The S-method is proposed in [11] for microDoppler based characterization.…”

Section: Introductionmentioning

confidence: 99%

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

Narayanan¹,

Shastry²,

Chen³

et al. 2010

PIER B

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Abstract-In homeland security and law enforcement situations, it is often required to remotely detect human targets obscured by walls and barriers. In particular, we are specifically interested in scenarios that involve a human whose torso is stationary. We propose a technique to detect and characterize activity associated with a stationary human in through-the-wall scenarios using a Doppler radar system. The presence of stationary humans is identified by detecting Doppler signatures resulting from breathing, and movement of the human arm and wrist. The irregular, transient, non-uniform, and non-stationary nature of human activity presents a number of challenges in extracting and classifying Doppler signatures from the signal. These are addressed using bio-mechanical human arm movement models and the empirical mode decomposition (EMD) algorithm for Doppler feature extraction. Experimental results demonstrate the effectiveness of our approach to extract Doppler signatures corresponding to human activity through walls using a 750-MHz Doppler radar system.

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“…Through-wall sensing grew from the application of ground-penetrating radar systems to walls, with specific applications documented in the literature since the late 1990s showing abilities to sense beyond a single wall from near range [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Applications can be divided based upon whether information is sought on movement within a structure or on imaging the structure and its contents.…”

Section: Through-wall Applicationsmentioning

confidence: 99%

“…Such applications can resort to Doppler discrimination of movement from background clutter [13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Motion Detection and Localizationmentioning

confidence: 99%