SBIR/STTR Research Award

Dynamic Sensor Management of Dispersed and Disparate EO/IR Sensors

Award identifier 42f36fc34d64b385737b9e9c1a3f3257f00d43e2735e1563eb9a45e6311f8cc7Awarding agency Department of Defense · Air Force

Award amount

$750,000

Program and phase

SBIR · Phase II

Award year

2007

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
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
2007-02-27
Contract end date
2009-02-20
UEI
C12TQVKF5413
Solicitation number
2006.1
Topic code
AF06-251

Research abstract

Sensor management of dispersed and disparate EO/IR sensors presents a daunting theoretical and practical challenge. Scientific Systems Company, Inc. of Woburn MA and its subcontractor, Lockheed Martin MS2 Tactical Systems (LMTS) of Eagan MN, propose a foundational, control-theoretic approach that is based on three innovations: (1) a multisensor-multitarget likelihood function which encapsulates all relevant information regarding the characteristics of the various sensors; (2) a "dynamic situational significance map" that mathematically specifies the meaning of "tactical significance" for a given theater at a given moment; (3) an intuitively meaningful and potentially computationally tractable objective function, namely the expected number of targets of tactical significance; and (4) integration of these concepts with approximate multitarget filters. Phase I showed the feasibility assessment by simulating satellite trajectories (MSX, INTELSAT 511, and THOR 2A), and demonstrated: (1) a tractable sensor management (SM) objective function for the SBV sensor, (2) excellent SM performance for the reduced complexity scenarios considered, and (3) satisfactory tracking errors. The primary focus of the Phase II will be the development of a prototype sensor management algorithm to be tested using realistic simulated multisensor data with the goal of characterizing system performance for a range of realistic scenarios involving platforms such as the MSX, SBSS. Specific Phase II tasks are: (1) Improved Tracking/SM Performance, (2) Multi-Platform Multi-Sensor Extension, (3) Incorporating the Specifics of other Sensors, (4) Fusion of other Sensors and/or Sources, (5) Utilizing Photometric Features for Targets Significance to be Incorporated into the SM Objective Function, (6) Characterizing the Effectiveness, Strengths, and Limitations of the Algorithms, and (7) Phase III, Transfer of Technology, and Commercialization. The project team includes Dr. Ronald Mahler of Lockheed Martin. Lockheed Martin will provide both technical and commercialization support in the application of sensor management technologies.

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

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, 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.