SBIR / STTR #OSW26BZ05-DV022

SBIR Solicitation: ML-Based Signal Classification and Anomaly Detection Software

This opportunity seeks innovative research and development services for advanced signal classification and anomaly detection in contested RF spectral environments, led by the Department of War's SCO SBIR office. - Government Buyer: - Department of War, SCO SBIR office - Products/Services Requested: - Machine Learning-based software processor for signal classification and anomaly detection - Scalable, interpretable ML system designed to outperform expert SIGINT analysts - Integration with C5ISR systems (Command, Control, Communications, Computers, Combat Systems, Intelligence, Surveillance, and Reconnaissance) - Deliverables include a containerized software prototype and technical data package - Unique/Notable Requirements: - Solution must be computationally efficient, human-interpretable, and scalable from tactical to operational levels - Direct to Phase II SBIR award, requiring demonstrated prototype capabilities - Dual-use potential for both military and commercial RF/acoustic signal monitoring - Compliance with cybersecurity standards, foreign risk evaluation, and technical data rights - Structured in phases: feasibility demonstration, prototype maturation and integration, and dual-use commercialization - No specific OEMs, vendors, or part numbers are mentioned in the solicitation.

Description

This solicitation is part of the SBIR/STTR program, focusing on signal classification and anomaly detection in contested spectral environments. It invites proposals related to research and development in these technical areas. The solicitation includes attachments with detailed information and instructions for prospective bidders. Responses are due by May 18, 2017.

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