SBIR/STTR Research Award

Low Latency Space Object Maneuver Detection

Award identifier 8a58c0f148c7ac62fd9c97693ea78322e78bf865e34f15f0d5d30664d38db256Awarding agency Department of Defense · Air Force

Award amount

$179,988

Program and phase

SBIR · Phase I

Award year

2024

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
ADVANCED SPACE LLC
Proposal award date
2024-08-27
Contract end date
2025-04-26
UEI
EFK8T9QULJM9
Solicitation number
24.1
Topic code
SF241-0023

Research abstract

The space domain is becoming more crowded, placing a greater burden on the USSFÆs Space Domain Awareness (SDA) operations. Current observation efforts cannot monitor all near-Earth space in real-time, but only as objects pass by ground- or space-based sensors. As a result, organizations like the 19th Space Defense Squadron (SDS) occasionally detect an object in an orbit that did not appear in a previous observation. The challenge for 19th SDS operators, upon detecting an unexpected track, is to determine if they are observing a new spacecraft or an existing spacecraft in the catalog that may have changed orbits. The proposed maneuver detection approach adds the needed data-driven context to inform SDA operators how to make sense of what they see when new orbital tracks appear.Ā In response to the DoD SBIR 2024.1 Solicitation for the Space Force Phase I Program, topic SF241-0023 ōLow Latency Space Object Maneuver Detectionö Advanced Space, LLC (Advanced Space) proposes an automated maneuver detection pipeline. This solution is driven by the observation that the most challenging aspect of detecting spacecraft maneuvers is determining which tracked object in a catalog, if any, produced a given measurement track. The problem is compounded by the fact that measurement tracks may be sparse in time and likely do not have enough information to determine an orbit completely without first being associated to other tracks. Starting from this measurement-centric point of view, the maneuver detection pipeline proposed here will solve the underlying association problems by developing robust track association toolsĀ Dr. Matthew Givens is the Principal Investigator (PI) for the proposed project, functioning as a Subject Matter Expert (SME) in SDA. Dr. Givens earned his Ph.D. at the University of Colorado (CU) Boulder where he studied and researched novel relative navigation and mapping algorithms applied to space situational awareness and spacecraft rendezvous and proximity operations. Dr. Givens is an SME in statistical estimation techniques applied to spacecraft astrodynamics, navigation, attitude determination, and computer vision. Dr. Givens is a Senior Navigation Engineer at Advanced Space. He is supported primarily by Dr. Jeffrey Parker, CTO of Advanced Space, who is an SME in mission design and navigation of spacecraft in cislunar space, including Advanced SpaceÆs CAPSTONETM mission currently at the Moon. Dr. Parker has led 7 government-sponsored projects as PI, totaling more than $4.2M in value.Ā

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

30 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $13,857,121. Reported amounts are not federal obligations.

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

Agencies: National Aeronautics and Space Administration, Department of Defense

Contractor profile

ADVANCED SPACE LLC

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

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.