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Sensor Data Fusion

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
B103-001-0351
Solicitation Year:
2010
Solicitation Topic Code:
MDA10-001
Solicitation Number:
2010.3
Small Business Information
Applied Mathematics, Inc.
1622 Route 12, Box 637 Gales Ferry, CT 06335-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: Sensor Data Fusion
Agency: DOD
Contract: HQ0147-11-C-7515
Award Amount: $100,000.00
 

Abstract:

Use of data from multiple sensors provides the opportunity for improved ballistic missile defense (BMD) search and tracking. Algorithms for combining multi-sensor data are required. BMD sensor data fusion is a challenging problem because of incompatibility in coordinate systems for different sensors, which makes it difficult to transfer variance and covariance information, and because of sensor registration issues, which result in measurement errors with a consistent bias. To overcome these difficulties, we propose using a root-mean-square (RMS) approach. The RMS value of a possible missile trajectory expresses the amount of consistency between the measurements that the possible trajectory should generate, and the actual measurements. The Marquardt-Levenberg optimization method can be used to find the trajectory with minimum RMS, which can be used as the fire control solution for that missile. Sensor bias can be resolved, allowing registration errors to be corrected. Furthermore, an output of the Marquardt-Levenberg algorithm is a covariance structure on the parameter set that defines possible missile trajectories.

Principal Investigator:

William J. Browning
President
(860) 464-7259
wjbrowning@applmath.com

Business Contact:

William J. Browning
President
(860) 464-7259
wjbrowning@applmath.com
Small Business Information at Submission:

Applied Mathematics, Inc.
1622 Route 12, Box 637 Gales Ferry, CT -

EIN/Tax ID: 061023352
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No