SBIR / STTR #A244-015

Real-Time Signal Classification Technology for Navigation Systems (SBIR RFP)

The U.S. Army, under the Department of Defense, is seeking innovative solutions for real-time signal classification to enhance Position, Navigation, and Timing (PNT) systems. - Government Buyer: - U.S. Army (Department of Defense) - Scope of Work: - Development of real-time signal classification technology for navigation systems - Emphasis on Artificial Intelligence/Machine Learning (AI/ML) algorithms - Integration with portable antenna systems - Data collection, AI/ML training, and demonstration in real-world environments - Deliverables: - Two antenna systems capable of detecting and classifying interference signals in real-time - Demonstration of technology performance in relevant environments - Unique Requirements: - AI/ML training techniques must be adaptable across different antenna systems - Integration of both hardware and software solutions - Open to small businesses; no specific OEMs or part numbers mandated - Potential Vendors: - Toyon Research Corp. - Mayflower Communications Company, Inc. - A10 Systems LLC - Funding and Duration: - Project expected to last 24 months - Funding cap of $2 million

Description

This solicitation is a Request for Proposal aiming to develop real-time signal classification technology to mitigate interference in navigation systems. The project involves the development of AI/ML algorithms, portable antenna systems, and real-world testing. The effort is expected to last 24 months with a funding cap of up to $2 million. Proposals must be submitted via the DSIP Portal by April 23, 2024.

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