Grants / Department of Defense / Department of Defense

N00164-22-1-1001: CRANFOA-22-0001

Closed Closed March 24, 2022 Opportunity N00164-22-1-1001 ☆ Save

This grant is closed. A newer notice from the same program is open now: Fiscal Year (FY) 2027 Department of War Multidisciplinary Research Program of the University Research Initiative (MURI) (N0001426SF002). Status: Closes April 9, 2027 (153 days left). It is in our archive of Department of Defense notices from 2022.

• Award ceiling$400,000
• Award floor$100,000
• Expected awards2
• Cost sharingNot required
• Funding typeGrant

Key dates

Who can apply

This opportunity was open to any type of organization.

• Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

More grants for nonprofits, colleges and universities, state and local governments, tribes, small businesses, businesses, individuals.

Is this a realistic fit?

• Past Basic and Applied Scientific Research awards averaged $670,297; this notice allows up to $400,000 per award.
• Most of the program's money (80% over five years) went to colleges and universities.
• No cost sharing or match is required.

What the grant funds

Naval Surface Warfare Center, Crane Division is interested in receiving proposals for the following Basic Research Opportunity Areas: a. High Fidelity Radio Frequency Scene Generation for Real-Time Processing NSWC Crane seeks novel approaches to the problem of generating complex radio frequency (RF) scenes for use in real-time hardware-in-the-loop (HWIL) simulations. Of particular interest are synthetic RF scenes for navigation purposes such as terrain feature mapping radars, Doppler mapping radars, and object identification purposes within radar scenes generated by pulse-doppler radars and synthetic aperture radars. RF scenes generated by radars such as LIDAR are of interest as well. For HWIL applications, an RF scene is a synthetic scene derived from terrain databases such as Digital Terrain Elevation Data (DTED), merged with three dimensional objects (scatterers), combined with an aerospace vehicle’s state (3 dimensional position, orientation, and 3 dimensional velocity), and presented as digital scenes suitable for conversion to RF signals for processing in real time by RF systems on the aerospace vehicle. Scene computation approaches should trade scene resolution and fidelity with computation time and effort for a given computing capability. Novel approaches can include precomputation of scenes given apriority knowledge on an aerospace vehicle’s state over a given timeframe. Precomputation approaches should focus on minimizing scene computation and storage while preserving the ability to present those scenes in real time to a system under test. Aerospace vehicle expected velocities may range from subsonic to hypersonic speeds. A suitable proposal will address at least one of the areas discussed above and show improvement over current state of the art. b. Validation & Verification for Trusted Autonomous Vehicles NSWC Crane seeks research concerning Validation & Verification (V&V) of autonomous vehicles that utilize Artificial Intelligence (AI) algorithms. A primary area of exploration involves the evaluation of V&V approaches as they apply to the development of AI “Trust” for operational situations. Of particular interest is the use of Live-Virtual-Constructive (LVC) methods and hardware-in-the-loop (HWIL) for pre-mission evaluation of learning integrity. Methods that utilize Unmanned Surface Vessel (USV) platforms for AI capability implementation will be of particular interest.

Category: Science and Technology and other Research and Development.

Applying now

This notice no longer takes applications. Apply under the newer notice, N0001426SF002, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.