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Synthetic Aperture Radar (SAR) Aided Navigation

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
F112-157-2220
Solicitation Year:
2011
Solicitation Topic Code:
AF112-157
Solicitation Number:
2011.2
Small Business Information
Matrix Research Inc
1300 Research Park Dr Dayton, OH 45432-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2013
Title: Synthetic Aperture Radar (SAR) Aided Navigation
Agency / Branch: DOD / USAF
Contract: FA8650-13-C-1520
Award Amount: $745,387.00
 

Abstract:

ABSTRACT: The objective of this effort is to develop an algorithmic framework for joint utilization of GPS/INS/SAR in order to simultaneously improve the localization accuracy and integrity of an airborne sensor system's navigation system. The primary challenges from a SAR-processing perspective are a) the estimation of position and velocity states directly from SAR phase history data and b) the development of a realistic model to calculate uncertainty estimates associated with the SAR-based (position, velocity)-state estimates for use in an integrated navigation system. From a more traditional navigation viewpoint, a significant challenge arises in the incorporation of the noisy SAR-based (position, velocity) estimates -- which are inherently associated with the approximate phase center of the SAR antenna -- within an overall navigation system. This effort will focus on developing real-time implementations of the algorithms proved successful in the prior Phase I effort (the autofocus- and feature-based motion estimation algorithms, as well as the generic navigation filter). The efficiency and efficacy of these algorithms will be demonstrated through real-time data collections measured on an Air Force platform. Although the demonstration will be application-specific, our approach is general enough to apply to several different types of (airborne and ground-moving) ISR platforms. BENEFIT: The primary benefit of successful completion of this effort is a revolutionary new capability for improving overall geolocation accuracy and integrity for platforms with radar assets. This capability has numerous commercial applications in various business sectors such as defense, mapping, and transit.

Principal Investigator:

Matt Ferrara
Staff Engineer
(937) 427-8433
matthew.ferrara@matrixresearch.com

Business Contact:

Bob Hawley
President
(937) 427-8433
bob.hawley@matrixresearch.com
Small Business Information at Submission:

Matrix Research Inc
1300 Research Park Dr Dayton, OH -

EIN/Tax ID: 542186986
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No