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Small Unmanned Air Vehicle Magnetic-Field Sensors

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-11-C-0015
Agency Tracking Number: A102-064-0346
Amount: $69,907.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A10-064
Solicitation Number: 2010.2
Timeline
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2010-11-30
Award End Date (Contract End Date): N/A
Small Business Information
6300 Gateway Dr.
Cypress, CA -
United States
DUNS: 614108918
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Duane Cline
 Principal Investigator
 (714) 224-4410
 dcline@sara.com
Business Contact
 Parviz Parhami
Title: Chief Executive Officer
Phone: (714) 224-4410
Email: pparhami@sara.com
Research Institution
 Stub
Abstract

The ongoing conflicts in Iraq and Afghanistan have highlighted the benefits and limitations of small unmanned aircraft systems (UAS) operated by front-line combat units and special operations forces. The real-time imagery provided by narrow field of view electro-optical or infrared (EO/IR) cameras installed on small UAS significantly improves situational awareness without exposing soldiers to direct fire. However, these aircraft are limited to operation in segregated airspace at altitudes that prevent collisions with power lines, buildings or uneven terrain and cannot detect activity inside buildings, caves or tunnels. Magnetic field sensors installed on small UAS can be used to detect power lines, building wiring, hidden electrical power sources, and possibly other aircraft. An important step in developing this capability is the suppression of electromagnetic interference (EMI) produced by the aircraft electronics to maximize sensor performance. The proposed SBIR program will leverage SARA"s experience in the development, integration and testing of magnetic field sensors on UAVs gained during DARPA"s Low Altitude Airborne Sensor System (LAASS) program. During Phase I we will evaluate the potential effectiveness of candidate sensor system designs and signal processing algorithms, laying the foundation for development and demonstration of a prototype system during Phase II.

* Information listed above is at the time of submission. *

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