Machine learning tools for RF signal classification and anomaly detection in contested spectrum
This opportunity supports development of scalable, robust machine-learning software that can run on commercial off-the-shelf hardware to detect, classify, and flag both known and unknown radio-frequency signals in complex, contested environments. The goal is to improve spectrum awareness beyond expert signal intelligence analysts and to integrate results into multi-function C5ISR systems for d…
Source
Dates
Eligibility
Keywords
Supporting Links
Documents
Similar Opportunities
-
Joint radar-communications waveforms to carry data within radar signals
U.S. Department of Defense
-
Notice of Intent to Sole Source MONARCH Radio Frequency Search Platforms
Washington Headquarters Services (whs)
-
Cognitive FPGA system to detect and classify low probability of intercept (LPI) radar waveforms
U.S. Department of Defense
-
NSF CCSS: Communications, Circuits, and Sensing Systems for next-gen cyber-physical hardware and signal processing
National Science Foundation
-
Build a broadband interference canceller to maintain mission communications in multi-frequency environments
U.S. Department of Defense
Find tens of thousands more opportunities — free
Scout accounts are free. Sign up to browse the full funding database, unlock the solicitation links and documents for this opportunity, and see how well each one fits your organization.
-
Tens of thousands of funding opportunities
Search and filter every grant and solicitation in Scout — all free, no credit card required.
-
Instant Fit Analysis
Let our grant expert AI score how well this opportunity aligns with your organization, strengths, gaps, and how to improve your chances of winning funding.
-
Source links & full documents
Jump straight to the solicitation and download every attachment.
-
Save opportunities & track deadlines
Keep the opportunities that fit in one place and stay ahead of every due date.
Already have an account? Sign In
Trusted by 500+ Happy Customers