Integration of 360-Retrodirective Noise Correlating Radar with Panormic Camera for Real-Time Detection and Imaging of Ballistic Threats

Award Information
Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Amount:
$99,979.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
W911NF-09-C-0124
Agency Tracking Number:
A09A-017-0332
Solicitation Year:
2009
Solicitation Topic Code:
A09A-T017
Solicitation Number:
2009.A
Small Business Information
Physical Domains
3700 Cedarbend Dr., Glendale, CA, 91214
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
105447440
Principal Investigator
 Elayne Brown
 Managing Partner
 (818) 795-3247
 phydom@sbcglobal.net
Business Contact
 Elayne Brown
Title: Managing Partner
Phone: (818) 795-3247
Email: phydom@sbcglobal.net
Research Institution
 Fordham University
 Laura Ebert
 441 E. Fordham Road
Bronx, NY, 10458
 (718) 817-4651
 Nonprofit college or university
Abstract
Retrodirective pseudorandom-noise-correlating radar has already been demonstrated on small ballistic targets, such as sniper bullets. And detection occurs with enough range (a few tens of meters) to acquire bearing information (rangebin, azimuth, and elevation) and therefore develop a track in near-real-time. What is lacking is the connection between such radar performance on warfighter situational awareness and force protection. The proposed effort will investigate the design of a 360o-FOV (in azimuth) retrodirective radar and its integration with a panoramic camera to provide the warfighter real-time display of bullet tracks overlaid on an image of the local environment. This entails many issues in radar design, and in sensor and data fusion. The proposal teams an expert organization in retrodirective noise-correlating radar (Physical Domains) with experts on data and sensor fusion from the Academic (Fordham University) and Commercial (Altrus Networks) sectors. The overall STTR Phase-I effort will be a Virtual Integration of the radar and a panoramic camera with deliverables that include an optimal design for the retrodirective radar, drivers and interfaces between the hardware and software components, and algorithms for the high-data-rate (up to 1 GBit/s) radar-camera data fusion. The preferred human interface and system controller will be a customized PDA.

* information listed above is at the time of submission.

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