Opportunistic Sensor Resource Management for Extended Operating Conditions

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
F33165-02-M-1235
Award Id:
57724
Agency Tracking Number:
021SN-1391
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
50 Mall Road, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Craig Lawrence
Lead Analyst
(703) 284-8440
craig.lawrence@dc.alphatech.com
Business Contact:
Andrew Mullin
GC & Dir of Contracts
(781) 273-3388
andy.mullin@alphatech.com
Research Institution:
n/a
Abstract
"ALPHATECH proposes to develop advanced optimization-based algorithmic methods for the control of distributed sensing systems in extended operating conditions. In particular, we will investigate algorithms for the control of sensor arrays operating underextended operating conditions, that is conditions in which objects may be obscured or hidden, sensor performance may be degraded due to environmental conditions, or there are many tasks compared to available resources. ALPHATECH has been at the forefrontof developing new technology enabling the solution of this challenging resource management problem. Specifically, ALPHATECH has developed multi-asset resource allocation and scheduling technology that enables revolutionary management of tasking ofheterogeneous sensor enterprises consisting of large number of mobile platforms with heterogeneous sensing capabilities. The current technology utilized advanced optimization methods to synchronize platform trajectories and sensor collection schedules torealize optimized information value from large sets of disparate collection tasking requirements. The core collection management algorithms address uncertainty in realization of collection value through an innovative using of reactive dynamic replanning.In this effort ALPHATECH will extend this work to include develop of a synergistic capability for automatic generation of opportunistic collection tasks together with a capability for dynami

* information listed above is at the time of submission.

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