SBIR/STTR Research Award

Machine Intelligent Nonstationary Clutter Excision

Award identifier 8d537294a964b54849338abf501f2c63141d87bb289b77290bb0120fc192d989Awarding agency Department of Defense · Air Force

Award amount

$149,969

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
Physical Optics Corporation
Proposal award date
2012-04-25
Contract end date
Not reported
UEI
DG3AB4E8R4D8
Solicitation number
2012.1
Topic code
AF121-144

Research abstract

ABSTRACT: To address the Air Force need to mitigate wind turbine clutter interference for existing terminal air traffic control (ATC) radar systems, Physical Optics Corporation (POC) proposes to develop a new Machine Intelligent Nonstationary Clutter Excision (MINCE) system. It is based on adaptive processing and empirically verified mathematical modeling of nonstationary clutter. The solution, based on innovations in clutter modeling and statistical processing, will enable the system to mitigate nonstationary clutter from wind farms with a minimum of modifications. Hence, this system offers improved target detection with low probability of false alarms, improved target tracking performance, and reduced false targets, which directly address the Air Force requirements to enhance surveillance in the national airspace. In Phase I, we will demonstrate the feasibility of MINCE by statistical and simulation analysis of wind turbine clutter and develop MINCE technology to mitigate wind turbines"nonstationary clutter for existing ATC radar. We will improve the system based on objective metrics such as target detection, tracking, and constant false alarm rate. In Phase II, we plan to further refine the system and propose verification and validation methodologies via integration into a candidate ATC radar system to further optimize MINCE for real-world operational utility. BENEFIT: The MINCE system will be the first of a new generation of clutter mitigation systems that can be incorporated into several public and commercial radar systems ranging from the FAA"s ATC systems to terminal Doppler weather radar (TDWR) and weather surveillance radar (e.g., WSR-88D NEXRAD). The indirect benefit of the MINCE system is relaxing the stringent constraint on the wind turbine installations in the vicinity of"wind-rich"airfields, as it can declutter the nonstationary clutter signatures of wind farms. The MINCE also has applications in marine radar which are detrimentally affected by sea clutter and weather-related clutter due to dust, rain, snow, etc.

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

1,933 SBIR/STTR records share this UEI (1986–2021). Reported award amounts total $549,686,800. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Contractor profile

PHYSICAL OPTICS CORPORATION

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.