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Scheduling Algorithm for Efficient and Effective Predicted Intercept Points (PIPs) for Multiple Targets

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0492
Agency Tracking Number: N181-055-0418
Amount: $1,499,985.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N181-055
Solicitation Number: 18.1
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-20
Award End Date (Contract End Date): 2023-07-31
Small Business Information
601 Hutton St STE 109
Raleigh, NC 27606
United States
DUNS: 148551653
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Padgett
 Senior Staff Engineer
 (919) 341-8241
Business Contact
 Gary Edge
Phone: (919) 341-8241
Research Institution

Vadum will develop the Prediction, Optimization, and Scheduling of System Engagements (POSSE) algorithms in order to efficiently and effectively schedule AEGIS Combat System engagements of closely spaced air defense threats. The POSSE algorithms model dense air defense engagements as a graph of connected engagement opportunities. Using graph traversal algorithms, the optimal set of engagement opportunities which both maximizes probability of kill and minimizes the likelihood of engagement interference can be determined. The optimal set of engagement opportunities can then be transmitted to downstream AEGIS Combat System elements to complete the engagements. The POSSE algorithms will increase AEGIS Combat System performance in a dense raid environment by intelligently determining optimal engagements. In Phase II, Vadum will continue to develop POSSE to increase its performance and mature the algorithms through a test campaign coordinated with the AEGIS prime contractor and the Government. The test campaign will provide the data necessary for continuous algorithm improvement and to support a Phase III transition decision.

* Information listed above is at the time of submission. *

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