Adaptive AI-Driven Waveform Design
AI Overview
Adaptive AI-driven waveform design for radar systems that autonomously optimize transmit parameters to counter electronic attack and interference in contested environments. The solution uses deep reinforcement learning to enable real-time waveform adaptation on edge-computing hardware while maintaining strict power and size constraints.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Modern radar operations face unprecedented challenges in increasingly congested and contested environments. Traditional radar systems rely on fixed or pre-programmed waveform libraries, making their transmissions highly predictable and susceptible to sophisticated electronic attack (EA). Near-peer adversaries now deploy advanced cognitive jammers and digital radio frequency memory (DRFM) systems that can rapidly analyze incoming radar pulses and generate deceptive or noise-based interference. Fu...
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Adaptive AI-Driven Waveform Design
New opportunity: Adaptive AI-Driven Waveform Design
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