SBIR / STTR #OSW26BZ04-DV009

AI-Driven Adaptive Waveform Design R&D for Radar Systems

This opportunity from the Department of Defense (DOD), Office of the Secretary of Defense (OSD), seeks advanced research and development for AI-driven adaptive waveform design in radar systems. - Government Buyer: - Department of Defense (DOD) - Office of the Secretary of Defense (OSD) - OEMs and Vendors: - No specific OEMs or vendors are named in the solicitation - Products/Services Requested: - Research and development services for AI-driven adaptive waveform design for radar systems - Focus on advanced machine learning algorithms, especially deep reinforcement learning - Hardware implementation using software-defined radios (SDRs) and field-programmable gate arrays (FPGAs) - Integration of developed technology into Army radar platforms - Unique or Notable Requirements: - Emphasis on autonomous, real-time selection, synthesis, and optimization of radar transmit waveforms - Technology must improve radar resilience against electronic attacks and interference - Dual-use potential for commercial radar and communications applications - Multi-phase project: research/prototype (Phase I), hardware implementation (Phase II), Army integration (Phase III) - No specific products, part numbers, or purchase quantities are listed

Description

This solicitation seeks innovative solutions for AI-driven adaptive waveform design for radar systems. The focus is on developing advanced machine learning algorithms, particularly deep reinforcement learning, to autonomously select and optimize radar transmit waveforms in real-time. The work includes research and prototype development in Phase I, hardware implementation in Phase II, and integration into Army radar platforms in Phase III. The technology aims to improve radar resilience against electronic attacks and interference, with potential dual-use applications in commercial radar and communications.

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