SBIR/STTR Research Award

Persistent Airbrn CUAS Surveil (PANCAS)

Award identifier 84274746465494cf281a12878c40460f7c409a0d151be6ffeb83418177d03796Awarding agency Department of Defense · Navy

Award amount

$139,990

Program and phase

STTR · Phase I

Award year

2025

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
Navy
Recipient company
SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.
Proposal award date
2025-07-07
Contract end date
2026-01-07
UEI
MXT5BGZX32S3
Solicitation number
25.A
Topic code
N25A-T016

Research abstract

Hostile Uncrewed Aerial Systems (UAS) pose a severe and escalating threat to Navy ships and Forward Operating Bases (FOBs). By increasing the standoff distance where one way attack UAS are first detected, Navy forces can be afforded more time to engage and defeat these threats before they reach their targets.  The ship’s air-to-air radar is a powerful tool in this regard but is unable to see over the horizon.  Crewed aircraft, such as an H-60 helicopter, can fly over the horizon beyond the ship and detect UAS, sometimes quite effectively.  However, using a high-value asset like an H-60 to detect a low-cost UAS is not a scalable or practical long-term solution. A compelling alternative solution is for the Navy to use their own UAS, equipped with an appropriate counter-UAS detection system, to fill the role of the H-60.  SARA proposes to develop a multi-modal system that deconflicts the host UAS’s interactions with crewed aircraft while simultaneously seeking out hostile UAS.  This will require target detection, identification, and tracking, with possible expansion into engagement and defeat.  With the right sensors, this can be done almost completely passively, which will be important for some missions.  We are calling our concept the Low-Observable Counter-UAS System, or LOCUS.  LOCUS can be flown on one or several UAS, which then patrol for hostile UAS well beyond the detection range of a Navy ship or FOB.  An acoustic sensing layer provides low SWaP, passive, omnidirectional aircraft detection.  An EO/IR gimbal camera simultaneously scans the horizon for aircraft and is automatically slaved in the direction of any acoustic detection.  Machine Learning image recognition software running on an onboard processor will ultimately be used to classify the target, though in the near term an operator will perform the classification task.  If the aircraft is on a collision course, LOCUS will automatically maneuver the host UAS platform to avoid collision. This is an especially important capability in the event that the target aircraft is a civilian crewed aircraft.  If the target is classified as a hostile UAS, LOCUS will report its position, speed and heading to the operator, who can then ready shipboard or FOB-based countermeasures.  In the Phase I trade study, SARA will also investigate adding defeat mechanisms to LOCUS. SARA pioneered the use of acoustic sensors on UAS for detecting nearby aircraft and is uniquely positioned to deliver the described capability.

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

183 SBIR/STTR records share this UEI (1991–2025). Reported award amounts total $77,383,618. 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, Department of Energy, Department of Homeland Security, Department of Commerce

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.