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Extended Look-Ahead Sensor Management for Missile Defense with a Bayes Net…

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: Extended Look-Ahead Sensor Management for Missile Defense with a Bayes Net Battle Model
Agency / Branch: DOD / MDA
Contract: HQ0006-02-C-0026
Award Amount: $70,000.00


"Effective missile defense relies on an array of sensors performing diverse collection tasks to successfully engage a missile attack. Sensors cannot cover the entire battle volume continuously, and Sensor Management is needed to allocate sensors to tasksproviding the greatest mission utility. Prior research has shown two ways to achieve effective Sensor Management: (1) integrate sensor allocation with weapon-target pairing and (2) use extended look-ahead horizons to make optimal use of defense-in-depthtactics. Tight integration of sensor and weapon tasking yields superior task plans, but has computational requirements that grow exponentially with the length of the look-ahead horizon, and is impractical for real-time execution.Our innovation for Sensor Management is to use extended look-ahead horizons, and partially de-couple the sensor and weapon tasking problems. Partially de-coupling the sensor and weapon task planning into separate, coordinating sub-problems reducescomputational requirements by several orders of magnitude while preserving much of the mission effectiveness of tight integration. Partially de-coupling the problems makes it possible to use extended look-ahead horizons, and thereby capture the benefitsof defense-in-depth tactics. Sensor Management is an essential activity in complex military and commercial systems, and is most effective when sensor tasking is aligned with the mission needs for information. Our innovat

Principal Investigator:

Jason J. Sroka
Lead Engineer

Business Contact:

Andrew S. Mullin
Gen. Cnsl. & Dir. of Cont
Small Business Information at Submission:

Alphatech, Inc.
50 Mall Road Burlington, MA 01803

EIN/Tax ID: 042654515
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No