Detection of Occupied Caves

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$69,936.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
DACA42-03-C-001
Agency Tracking Number:
A022-2911
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
REALTRONICS
PO Box 228, 25 N Heartland Express; Battle Creek S, Hermosa, SD, 57744
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
N/A
Principal Investigator
 Alf Riisnaes
 VP Embedded Systems Engin
 (605) 255-5309
 alf@realtronics.com
Business Contact
 Scott Thompson
Title: CEO
Phone: (605) 255-5303
Email: scott@realtronics.com
Research Institution
N/A
Abstract
This phase I SBIR project will investigate the feasibility of developing an unattended ground sensor for the detection of occupied caves. The proposed work is an extension of a technology that was developed and used by the applicant to detect human andother targets through building and cave walls and to map tunnels of ore that are several thousand feet below the surface. Accordingly, this alternative approach to thermal detection of occupied caves was encouraged by the TPOC for this topic. A phase IIaspiration of this work is to develop a portable flexible or fabric array that is responsive to the need for unattended underground facility and occupied cave detection cited in PE 06063762E (CUGF). The phase I study will focus on human and subsurfaceutility detection in caves, subsurface cave mapping, and methods to deploy the sensor as an unattended unit. This effort will conclude with design recommendations for wireless communications, sensor and receiver hardware composition, and target anomalyextraction techniques. Component and algorithm selection will reflect a scoring system based on phase I experiments. This technology, which is capable of both through wall and subsurface cave imaging, will enhance safety for law enforcement, search andrescue, fire, and military personnel by providing effective hands-free situational awareness. The technology is also well suited for subsurface mapping applications such as occupied cave, underground facility, and buried target detection; and forcommercial security.

* information listed above is at the time of submission.

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