Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System
Navy SBIR FY2018.1


Sol No.: Navy SBIR FY2018.1
Topic No.: N181-046
Topic Title: Tracking Algorithm(s) for Determining Highest Probability Predicted Intercept Points(s) in the AEGIS Combat System
Proposal No.: N181-046-0260
Firm: Vadum
601 Hutton St
STE 109
Raleigh, North Carolina 27606
Contact: David Padgett
Phone: (919) 341-8241
Web Site: http://www.vaduminc.com
Abstract: Vadum will develop a suite of algorithms that generate optimal Predicted Intercept Points (PIP) for the Aegis Weapons System (AWS). The Threat Prediction for Air Defense (TPAD) system will analyze kinematic profiles of threats attacking in raids or swarms, and generate optimal PIPs that maximize overall engagement success. TPAD will generate sets of PIPs in a shot sequence that prevent post-intercept debris from obscuring other shots in a barrage.
Benefits: Recent increases in both the lethality of airborne threats and the numbers in which threats can be employed have driven the need for the Aegis Combat System (ACS) to improve defensive capabilities and expending its missile inventory judiciously. Airborne threats arriving in swarm or raids threaten to deplete the number of missiles available to ACS during engagement. Optimal engagement policies are needed to ensure a high probability of kill (Pk) with each shot, and must consider the likelihood of post-intercept debris from one intercept obscuring another threat and compromising the Pk of its interceptor. The purpose of TPAD is to take a holistic view of the engagement ?" threat kinematics, missile capabilities, and environmental conditions ?" and generate optimal PIPs in a shot sequence that maximizes the overall engagement success against multiple threats.

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