| Through-the-Wall Small Weapon Detection Based on Polarimetric Radar Techniques |
Dec-2009 |
46 pages |
| Authors:
Traian Dogaru; Calvin Le; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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 | In this report, we investigate techniques for small weapon detection in the context of sensing-through-walls radar sensors. Our approach exploits the radar wave polarization in order to discriminate between a human carrying a weapon and an unarmed human. We first develop a polarization optimization procedure for a rifle-like target, but demonstrate that this technique does not perform as expected in the presence of a human. Next, we introduce a more ... |
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| Time-Frequency Analysis of a Moving Human Doppler Signature |
Feb-2009 |
34 pages |
| Authors:
Traian Dogaru; Calvin Le; Getachew Kirose; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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| In this report we analyze the Doppler signature of a moving human with the purpose of finding temporal change patterns that would allow detection and classification of movers. The analysis is based on computer models that simulate the operation of a pulse-Doppler radar. We start with an animated human mesh in walking motion and compute the frame-by-frame radar return using electromagnetic solvers such as the Finite Difference Time Domain (FDTD). ... |
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| Ultra-wideband Radar for Building Interior Imaging |
Dec-2008 |
9 pages |
| Authors:
Traian Dogaru; Calvin Le; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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| This paper presents both numeric simulations and radar measurements related to through the wall imaging technologies. We present synthetic aperture radar (SAR) images obtained by the Army Research Laboratory (ARL) Forward-Looking Radar system during field experiments and compare those with the results of our Xpatch computer models. We also demonstrate a computational approach based on the Finite Difference Time Domain (FDTD) algorithm in order to obtain the SAR images of ... |
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| Validation of Xpatch Computer Models for Human Body Radar Signature |
MAR 2008 |
28 pages |
| Authors:
Traian Dogaru; Calvin Le; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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| This technical report compares the radar signatures of a human body as computed by the Finite Difference Time Domain (FDTD) and Xpatch modeling techniques. Our main purpose is to validate the Xpatch (approximate) models with an exact electromagnetic solver (FDTD), We achieve this by comparing the radar cross section (RCS), range profiles and synthetic aperture radar (SAR) images of the human body, as computed by the two methods. This work ... |
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| Numerical Modeling of the Airborne Radar Signature of Dismount Personnel in the UHF-, L-, Ku-, and Ka-Bands |
DEC 2007 |
30 pages |
| Authors:
Calvin Le; Traian Dogaru; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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| This technical report presents numeric computations of the radar cross section (RCS) of a human body placed on top of a ground plane, as seen by an airborne radar. The simulated data was collected in four frequency bands, at low microwave frequencies (UHF- and L-bands), and high microwave frequencies (Ku- and Ka-bands). For the low frequency bands we used the Finite Difference Time Domain (FDTD) modeling technique, whereas for the ... |
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| Computer Models of the Human Body Signature for Sensing Through the Wall Radar Applications |
SEP 2007 |
56 pages |
| Authors:
Traian Dogaru; Lam Nguyen; Calvin Le; ARMY RESEARCH LAB ADELPHI MD
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| This technical report presents numerical simulations of the human body radar signature, with application to sensing through the wall (STTW) scenarios. We utilize the Finite Difference Time Domain (FDTD) modeling technique to compute the electromagnetic scattering from realistic human body models. We analyze the radar cross section (RCS) of the human body in different configurations as a function of aspect angle, frequency, and polarization, drawing important conclusions in terms of ... |
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| Numeric Simulations for Sensing Through the Wall Radar |
NOV 2006 |
9 pages |
| Authors:
Traian Dogaru; Calvin Le; ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
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| This paper presents numeric simulations related to sensing through the wall radar technologies. Our computational approaches include the Finite Difference Time Domain (FDTD) algorithm and the shooting and bouncing ray technique (Xpatch). We analyze the radar signatures of the human body and other objects, in free-space and inside a room. The emphasis is on radar scattering phenomenology, with results presented as Radar Cross Section (RCS) and Synthetic Aperture Radar (SAR) ... |
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