
Proceedings Paper
Roadside IED detection using subsurface imaging radar and rotary UAVFormat | Member Price | Non-Member Price |
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Paper Abstract
Modern improvised explosive device (IED) and mine detection sensors using microwave technology are based on
ground penetrating radar operated by a ground vehicle. Vehicle size, road conditions, and obstacles along the troop
marching direction limit operation of such sensors. This paper presents a new conceptual design using a rotary unmanned
aerial vehicle (UAV) to carry subsurface imaging radar for roadside IED detection. We have built a UAV flight
simulator with the subsurface imaging radar running in a laboratory environment and tested it with non-metallic and
metallic IED-like targets. From the initial lab results, we can detect the IED-like target 10-cm below road surface while
carried by a UAV platform. One of the challenges is to design the radar and antenna system for a very small payload
(less than 3 lb). The motion compensation algorithm is also critical to the imaging quality. In this paper, we also
demonstrated the algorithm simulation and experimental imaging results with different IED target materials, sizes, and
clutters.
Paper Details
Date Published: 3 May 2016
PDF: 11 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 982317 (3 May 2016); doi: 10.1117/12.2223445
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
PDF: 11 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 982317 (3 May 2016); doi: 10.1117/12.2223445
Show Author Affiliations
Yexian Qin, CivilSensing (United States)
Jones O. Twumasi, Univ. of Massachusetts Lowell (United States)
Viet Q. Le, Univ. of Massachusetts Lowell (United States)
Jones O. Twumasi, Univ. of Massachusetts Lowell (United States)
Viet Q. Le, Univ. of Massachusetts Lowell (United States)
Yu-Jiun Ren, CivilSensing (United States)
C. P. Lai, CivilSensing (United States)
Tzuyang Yu, Univ. of Massachusetts Lowell (United States)
C. P. Lai, CivilSensing (United States)
Tzuyang Yu, Univ. of Massachusetts Lowell (United States)
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
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