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Optimization of Sensor Management/Sensor Registration

Award Information

Agency:
Department of Defense 		Branch:
Missile Defense Agency 		Award ID:
81665 		Program Year/Program:
2007 / SBIR
Agency Tracking Number:
B063-009-0338 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Numerica Corporation
4850 Hahns Peak Drive Suite 200 Loveland, CO -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Optimization of Sensor Management/Sensor Registration
Agency / Branch: DOD / MDA
Contract: HQ0006-07-C-7752
Award Amount: $99,991.00
 

Abstract:

To provide multiple layers of defense against increasingly complex threats, the heterogeneous sensors of the Ballistic Missile Defense System (BMDS) must be carefully coordinated to make optimal use of their diverse capabilities. In particular, because information demands are tied to the timeline of various decision points in an engagement, and sensor dynamics impose limitations on the timing of sensing tasks, foresight and planning are crucial to ensure the required information is available in time for effective engagements. A sensor resource manager (SRM) for the BMDS must therefore employ sophisticated models of the sensors to satisfy long-term performance goals. The SRM algorithm proposed here is based on approximate solutions of a partially observable Markov decision process (POMDP), to properly account for dynamics and generate the desired farsighted behavior. Moreover, the algorithm does not depend on analytical sensor models, but rather uses simulation-based functional models for predicting complex local sensor behavior. The functional models are integrated with the performance prediction and search method in a systematic and intelligent way, making the algorithm much more efficient than a naive Monte Carlo approach, and providing several mechanisms for scaling the amount of computation to trade off performance and runtime.

Principal Investigator:

Scott Miller
Research Scientist V
9704198343
samiller@numerica.us

Business Contact:

Jeff Poore
VP/COO
9704198343
jbpoore@numerica.us
Small Business Information at Submission:

NUMERICA CORP.
PO Box 271246 Ft. Collins, CO 80527

EIN/Tax ID: 841349484
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No