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Passive Range Estimation from Angle-only Sensor Data (Acq Pointing&Tracking)

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
B2-1684
Solicitation Year:
2008
Solicitation Topic Code:
MDA08-050
Solicitation Number:
2008.3
Small Business Information
SciTec, Inc.
100 Wall Street Princeton, NJ -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2011
Title: Passive Range Estimation from Angle-only Sensor Data (Acq Pointing&Tracking)
Agency: DOD
Contract: W9113M-11-C-0010
Award Amount: $986,684.00
 

Abstract:

The proposed work will extend the studies conducted during Phase I to develop a mature Monocular Passive Ranging capability to enable single EO/IR sensors in a UAV network to determine threat location accurately enough to cue other assets (other UAV sensors, radars, etc). Such a capability is a key enabler for Early Intercept or enhanced C2BMC, since it mitigates stressing requirements for sensor coverage as well as for data transmission and processing/fusion. Our Phase II effort focuses on developing an MPR capability for EO/IR sensors that are currently available or are soon to be deployed. Our Phase II effort includes the creation of an MPR algorithm development toolkit that includes modules for: prototyping features, feature evaluation, feature fusion, range estimation and uncertainty assessment, and for displaying and analyzing results. The toolkit will also contain a database of high-fidelity target signatures. These signatures, which are absolutely critical for the development and training of our MPR algorithm, will be developed using plume models, but will be tied to real data from airborne and Additional EOIR sensors. Our proposed project culminates with a demonstration in which a real-time implementation of our MPR software is applied to live fire data at an external location.

Principal Investigator:

Jennifer Davis
Sr Scientist
(609) 921-3891
jdavis@scitec.com

Business Contact:

James Lisowski
CEO/SR. SCIENTIST
(609) 921-3892
jjl@scitec.com
Small Business Information at Submission:

SciTec, Inc.
100 Wall Street Princeton, NJ -

EIN/Tax ID: 222255328
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No