Reliable and Explainable Data-driven Methods for ELINT Signal Detection/Classification
ID: AF251-0001Type: BOTH
Overview

Topic

Reliable and Explainable Data-driven Methods for ELINT Signal Detection/Classification

Agency

Agency: DODBranch: USAF

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/
Timeline
    Description

    The Department of Defense (DOD), specifically the United States Air Force (USAF), is seeking innovative solutions through the Small Business Innovation Research (SBIR) program for the development of reliable and explainable data-driven methods for Electronic Intelligence (ELINT) signal detection and classification. The objective is to create robust algorithms that leverage training data to enhance signal processing performance across various ELINT scenarios, ensuring that the underlying assumptions of these algorithms are quantifiable and verifiable. This initiative is crucial for improving detection, localization, and tracking capabilities in military applications, with potential commercial applications in law enforcement, medical, and automotive sectors. The solicitation number for this opportunity is AF251-0001, with a release date of December 4, 2024, and an application due date of February 5, 2025. Interested parties can find more information and submit proposals through the DOD SBIR website at https://www.dodsbirsttr.mil/topics-app/.

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