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Sparse Information Orbit Estimation for Proliferated LEO

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: 140D0420C0064
Agency Tracking Number: DHR001119S0035-22-0003
Amount: $221,333.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: HR001119S0035-22
Solicitation Number: DARPA HR001119S0035-22
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-02-27
Award End Date (Contract End Date): 2020-12-02
Small Business Information
1300 Britt SE
Albuquerque, NM 87123
United States
DUNS: 081475873
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dan Baker
 Co-Principal Investigator
 (505) 767-1200
Business Contact
 Tom Edmondson
Phone: (505) 767-1214
Research Institution
 Texas A & M University
 Kyle DeMars Kyle DeMars
200 Technology Way A&M System Building, Suite 1281
College Station, TX 77845
United States

 (979) 845-1640
 Nonprofit College or University

Texas A&M University (TAMU) and Applied Technology Associates (ATA) propose to develop and characterize a set of orbit determination and estimation algorithms for closely-spaced objects in low Earth orbit. The algorithms will span existing state-of-the-art-in-practice and possible state-of-the-art-in-research approaches. These algorithms will seek to extract maximal information out of existing sparse sensor data sources without the need to develop and/or build new sensors, where typical existing sensor types include radar, optical, and laser ranging. Four test cases have been identified for characterizing the algorithms’ performance.

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

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