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Proceedings Paper

Forward imaging robotic vehicle mission using an ultra-wideband synthetic aperture radar
Author(s): Lam H. Nguyen; David C. Wong; Gregory Smith; Marc A. Ressler
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Paper Abstract

In support of the Army vision for increased mobility, survivability, and lethality, we are investigating the use of ultra-wideband (UWB) radar technology to enhance unmanned ground vehicle missions. The ability of UWB radar technology to detect foliage-concealed objects could provide an important obstacle avoidance capability for robotic vehicles, which would improve the speed and maneuverability of these vehicles and consequently increase the survivability of the U.S. forces. This technology would address the particular challenges that confront robotic vehicles such as large rocks hidden in tall grass and voids such as ditches and bodies of water. This paper describes electromagnetic model predictions of the radar cross section of potential robotic vehicle obstacles. These model predictions will be used to guide the data collection scenarios for the Army Research Laboratory (ARL) ultra-wideband BoomSAR system. Using a combination of the models, simulations, and BoomSAR data we investigate the operating parameters (imaging angles, frequencies, bandwidth, etc.) for an obstacle-avoidance UWB radar.

Paper Details

Date Published: 17 July 2002
PDF: 10 pages
Proc. SPIE 4715, Unmanned Ground Vehicle Technology IV, (17 July 2002); doi: 10.1117/12.474468
Show Author Affiliations
Lam H. Nguyen, Army Research Lab. (United States)
David C. Wong, Army Research Lab. (United States)
Gregory Smith, Army Research Lab. (United States)
Marc A. Ressler, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 4715:
Unmanned Ground Vehicle Technology IV
Grant R. Gerhart; Chuck M. Shoemaker; Douglas W. Gage, Editor(s)

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