SBIR/STTR Research Award

Post-Maneuver Orbit Determination from Multi-Sensor Analysis of Plumes (PODMAP)

Award identifier 00dbb6b5a1d0c3e251107f13bc8073b0883fb385389cd4b84ac0a1ad9caa9fdeAwarding agency Department of Defense · Air Force

Award amount

$149,962

Program and phase

SBIR · 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
SPECTRAL SCIENCES, INC
Proposal award date
2012-05-30
Contract end date
Not reported
UEI
N8CQNLSSAZY4
Solicitation number
2012.1
Topic code
AF121-012

Research abstract

ABSTRACT: Spectral Sciences, Inc., and subcontractor Pacific Defense Solutions (PDS), LLC propose a Post-Maneuver Orbit Determination from Multi-Sensor Analysis of Plumes (PODMAP) system, consisting of a thrust vector inversion algorithm that produces post-maneuver orbital elements from wide field of view plume imagery and plume photometry. The Phase I effort focuses on post-maneuver orbit determination of a GEO insertion burn using a solid rocket motor (SRM). A unique empirical SRM plume model is validated with existing field data of SRM insertion burns, and integrated in scene generation software, to produce a synthetic dataset to train the orbit determination algorithm. Image processing will be developed that extracts projected thrust vector, delta-v, and total impulse from the image data from which a new orbit and the space vehicle mass can be estimated. An innovative multi-sensor concept is proposed that extracts the three dimensional thrust vector and delta-v for higher accuracy orbit determination. A Multiple Model Adaptive Estimation (MMAE) data fusion approach is proposed to further refine the thrust vector estimates. The effort combines the SSI expertise in plume signatures, image processing, and remote sensing with the precision orbit determination, data fusion, and space sensing expertise of PDS. BENEFIT: A successful PODMAP system will generate post-maneuver orbital elements of newly inserted spacecraft in GEO in near real time. This will provide early warning of nefarious intentions to military satellite operators, and can generate collision avoidance warnings to all GEO satellite operators for the case of a failed insertion, for example due to an aborted burn. A successful Phase I project will result in a quantitative assessment of the limiting accuracy of a fast post-maneuver orbit determination algorithm, PODMAP, for SRM GEO insertions using existing SSN and AF research sensors. A successful algorithm in conjunction with effective sensing will determine within seconds after the maneuver what the targeted GEO resident position is, and/or whether it may present a collision hazard to US or other assets.

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.

Research funding history

349 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $142,164,659. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration, National Science Foundation, Department of Agriculture, Department of Homeland Security

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.