Forward imaging for obstacle avoidance using ultra-wideband synthetic aperture radar

被引:11
|
作者
Nguyen, L [1 ]
Wong, D [1 ]
Stanton, B [1 ]
Smith, G [1 ]
机构
[1] USA, Res Lab, AMSRL, SE,RU, Adelphi, MD 20783 USA
来源
关键词
ultra-wideband radar; UWB; computational electromagnetic; forward imaging; robotic; mine detection;
D O I
10.1117/12.488580
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In support of the Army vision for increased mobility, survivability, and lethality, we are investigating the use of ultra-wideband (UWB) synthetic aperture radar (SAR) technology to enhance unmanned ground vehicle missions. The ability of UWB radar technology to detect objects concealed by foliage could provide an important obstacle avoidance capability for robotic vehicles. This would improve the speed and maneuverability of these vehicles and consequently increase the probability of survivability of 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. ARL has designed and constructed an instrumentation-grade, low frequency, UWB synthetic aperture radar for evaluation of the target signatures and underlying phenomenology of stationary tactical targets concealed by foliage and objects buried in the ground. The radar (named BoomSAR) is installed in the basket of a 30-ton boom lift and can be operated while the entire boom lift is driven forward slowly, with the boom arm extended as high as 45 m to generate a synthetic aperture. In this paper, we investigate the potential use of the UWB radar in the forwarding imaging configuration. The paper describes the forward imaging radar and test setup at Aberdeen Proving Ground, Maryland. We present imagery of "positive" obstacles such as trees, fences, wires, mines, etc., as well as "negative" obstacles such as ditches. Imagery of small targets such as plastic mines is also included. We provide electromagnetic simulations of forward SAR imagery of plastic mines and compare that to the measurement data.
引用
收藏
页码:519 / 528
页数:10
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