Coordinated Multi-Asset Replanning: Decision Support Tool Enabling High Accuracy Time Critical Targeting

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$98,909.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
F30602-02-C-0056
Agency Tracking Number:
021IF-1101
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Alphatech, Inc.
50 Mall Road, Burlington, MA, 01803
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
Andrew Newman
Senior Analyst
(703) 284-8411
newman@dc.alphatech.com
Business Contact:
Andrew Mullin
GC & Dir of Contracts
(781) 273-2288
andy.mullin@alphatech.com
Research Institution:
n/a
Abstract
"It is widely recognized that improved real-time dynamic replanning of airborne Intelligence Surveillance Reconnaissance (ISR) assets is needed to enable rapid information gathering in support of tactical battlefield operations. Moreover, the problem ofreal-time ISR resource management is magnified in the context of attaining high targeting accuracy on high priority time critical targets (TCTs), where coordination of multiple assets is crucial to enable fusion processes for timely, geo-registeredinformation from a variety of sources. In this effort, ALPHATECH will develop an automated decision support tool that will enable high accuracy time critical targeting through agile, coordinated, operator-supervised replanning control of multiple ISRassets. This tool will rapidly generate, evaluate, and assist operator down-selection of replanning alternatives in response to new information regarding the presence of high priority TCTs. Performance prediction models will be developed to evaluate theimpact of integrated cross-INT / synchronized multi-sensor collection plans on targeting accuracy and timelines. Core contributions in optimization-based algorithms for resource allocation and sensor collection scheduling will be extended to anticipateand generate replan contingencies against expected cross-cueing and information requests typical of tactical ISR battlefield operations. Proof-of-concept will be demonstrated against low-complexity

* information listed above is at the time of submission.

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