Sensor Geodetic Registration for Tactical Ballistic Missile (TBM) Composite Tracking and Discrimination Capability for Army System of Systems (ASoS) I

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-09-C-0219
Agency Tracking Number: A091-012-0163
Amount: $69,858.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: A09-012
Solicitation Number: 2009.1
Small Business Information
3390 Auto Mall Drive, Thousand Oaks, CA, 91362
DUNS: 068577175
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Phillip Dennis
 Chief Scientist
 (805) 409-0439
Business Contact
 William Cook
Title: President
Phone: (805) 573-5234
Research Institution
Critical to the success of distributed sensor fusion for IAMD is the ability of each network sensor to correctly associate sensor measurement and attribute data to tracked objects within the air/missile picture. To achieve this, multi-sensor fusion requires sensor registration techniques that ensure network sensor are sufficiently synchronized and spatially aligned. The goal of sensor registration is to reduce the range of uncertainty inherent in a given single radar by considering the "cross correlations" that exist between the data on common tracks observed by network sensors. Our approach to sensor registration is to provide geodetically aligned sensor data within a component based distributed architecture using methods that act on geodetic calibration tracks and other fiducial data points common to the distributed sensors to produce location and orientation bias estimates at each sensor. The distributed architecture allows each sensor to compute local biases and apply the computed “offsets” prior to distribution of track data to the tracking network. Sensor registration using simultaneous observation of selected common tracks and fiducial points among distributed sensors has the potential to compute a local sensor registration solution by averaging out the uncorrelated random bias errors that will be present within the ensemble of networked sensors.

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

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government