SBIR/STTR Research Award

Satellite Drag Model for Near Real Time Operation

Award identifier 409b66940a3b3223ac2f6e6c110d595a93a35f4d764680378512bb32081069f4Awarding agency Department of Defense · Air Force

Award amount

$99,957

Program and phase

STTR · Phase I

Award year

2012

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
MICHIGAN AEROSPACE CORP
Proposal award date
2012-06-07
Contract end date
Not reported
UEI
K15KKHPFZ5T9
Solicitation number
2011.B
Topic code
AF11-BT29

Research abstract

ABSTRACT: Michigan Aerospace Corporation, in cooperation with the University of Michigan"s Department of Atmospheric, Oceanic, and Space Sciences, will refine existing upper atmospheric models and apply them to the problem of predicting satellite drag. The primary goal of this Phase 1 project is to run a fully validated version of University of Michigan"s Global Ionosphere Thermosphere Model (GITM) in a near real-time setting, driven by a real-time version of the Assimilative Mapping of Ionospheric Electrodynamics (AMIE) technique, allowing the most accurate specification of the high-latitude electric fields and particle precipitation possible. Real time measurements of solar X-Rays will be utilized to help specify the solar irradiance. Validation will be conducted by running AMIE and GITM for 2001-2006, which are part of the CHAMP and GRACE satellite mission time-frame, allowing statistical comparisons to be made. Further, the possibility of running an ensemble of simulations will be explored, allowing for uncertainty and variability in the drivers to be accounted for. This work will be applied to the problem of atmospheric drag and its effect on satellite orbital elements. BENEFIT: The technology resulting from the successful conclusion of this STTR project will assist the Air Force with an improved model of upper atmospheric effects on satellites, allowing a more accurate ephemeris of orbiting objects in the Air Force"s space catalog. This will be of help to all the branches of the military, which have elements that depend on accurate knowledge of satellite positions and passages. Also, the Air Force and NASA both have an interest in knowing with as much accuracy as possible the paths of orbiting satellites to predict possible conflicts well in advance and to forecast orbital decay as accurately as possible, amongst other concerns with satellites and orbital debris.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

71 SBIR/STTR records share this UEI (1999–2023). Reported award amounts total $22,024,167. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Commerce, Environmental Protection Agency, National Science Foundation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.