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Integration of 360-Retrodirective Noise Correlating Radar with Panormic Camera…

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
90063
Program Year/Program:
2009 / STTR
Agency Tracking Number:
A09A-017-0332
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Physical Domains
3700 Cedarbend Dr. Glendale, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Integration of 360-Retrodirective Noise Correlating Radar with Panormic Camera for Real-Time Detection and Imaging of Ballistic Threats
Agency / Branch: DOD / DARPA
Contract: W911NF-09-C-0124
Award Amount: $99,979.00
 

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.

Principal Investigator:

Elayne Brown
Managing Partner
8187953247
phydom@sbcglobal.net

Business Contact:

Elayne Brown
Managing Partner
8187953247
phydom@sbcglobal.net
Small Business Information at Submission:

Physical Domains
3700 Cedarbend Dr. Glendale, CA 91214

EIN/Tax ID: 010627665
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Fordham University
441 E. Fordham Road
Bronx, NY 10458
Contact: Laura Ebert
Contact Phone: (718) 817-4651
RI Type: Nonprofit college or university