Automated Exploitation of High-Gain Acoustic Arrays Using Adaptive/Learning Techniques

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$799,976.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-05-C-1920
Award Id:
73166
Agency Tracking Number:
F051-219-1312
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
8910 University Center Lane, Suite 900, San Diego, CA, 92122
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
824920086
Principal Investigator:
DonaldMiklovic
Technical Director
(858) 450-1211
dmiklovic@sd.aetc.com
Business Contact:
StevenSands
Chief Financial Officer
(858) 450-1211
ssands@sd.aetc.com
Research Institute:
n/a
Abstract
The current situation in Iraq is making it extremely clear that the urban environment is a chaotic and dangerous battle space. Currently available technology cannot provide the level of real-time situational awareness needed by each individual soldier. DARPA has determined that Sparse Conformal Acoustic Network (SCAN) technology, or soldier-worn acoustic-array "vests," is a potential solution to this problem. The primary goal of this SBIR is to develop and transition a sparse conformal acoustic network system (SCAN) to the US Army, a capability that will provide a revolutionary improvement in hearing for more complete situational awareness in urban operations. Phase I showed that gains of 20-40 dB over the unaided ear are feasible. The goal of this Phase II is to develop a limited-capability prototype SCAN system and demonstrate its capabilities in typical urban environments, which will set the stage for final system development and transition of SCAN in Phase III. This prototype will include sensor-nodes with unique high-gain arrays and special purpose digital boards for real-time, broadband, sparse, conformal array beamforming; user-nodes for special human computer interfacing for enhanced hearing; and the networking of these nodes to exploit the synergy of multiple arrays and users.

* information listed above is at the time of submission.

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