Resource Optimization for Battle Management

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-11-C-7731
Agency Tracking Number: B2-1797
Amount: $999,407.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2009
Solicitation Topic Code: MDA09-026
Solicitation Number: 2009.3
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, -
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shawn Herman
 Program Director
 (970) 461-2000
 shawn.herman@numerica.us
Business Contact
 Jeff Poore
Title: President/COO
Phone: (970) 461-2000
Email: jeff.poore@numerica.us
Research Institution
 Stub
Abstract
The U.S. DoD has made ballistic missile defense a top priority. In response, MDA is developing a layered ballistic missile defense system (BMDS). A key requirement for this system is a global battle manager that efficiently and effectively coordinates the actions of the component sensors and weapon systems, and rapidly provides operators with engagement solutions. This is a significant challenge because of the close coupling that exists between battle management (BM) and sensor resource management (SRM). In this Phase II effort, we propose to develop an optimization-based global battle management algorithm that coordinates the actions of BMDS sensors and weapon systems, to maximize surviving assets while minimizing expended defense resources. The battle manager will (i) account for system coupling by operating in conjunction with the sensor resource manager, (ii) consider the unique capabilities of each asset, (iii) address the stochastic nature of the underlying optimization problem, (iv) allow for replanning upon receipt of additional data, (v) consider pre-planned operations by accepting external constraints in its search, and (vi) provide support to the C2BMC operators, who are tasked with fighting the ballistic missile battle. Furthermore, our joint BM/SRM algorithm will be tested extensively using the BMD Benchmark and challenging raid scenarios.

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

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