AI/ML for Next Generation of Missile Detection, Warning, Tracking, and Reporting
AI Overview
This RFP seeks advanced AI/ML solutions for multi-sensor fusion across satellite constellations to enhance missile detection, tracking, and real-time reporting for U.S. Space Force operations. The capability must process large data volumes with minimal latency to accurately identify and track sophisticated threats like hypersonic missiles across multiple orbital platforms.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
The purpose of this topic is to address a critical need within the U.S. Space Force’s Missile Warning, Tracking, and Response mission by advancing the application of artificial intelligence (AI) and machine learning (ML) technologies to improve multi-sensor fusion, missile tracking precision, and real-time situational awareness within a multi-orbit satellite framework (GEO, MEO, and LEO). Current technologies face challenges in fusing large volumes of disparate data across multiple sensing modal...
Change History
AI/ML for Next Generation of Missile Detection, Warning, Tracking, and Reporting
This Q&A clarifies that applicants can pursue Phase I projects emphasizing AI-driven orchestration and resource optimization rather than novel algorithms, expanding eligible research approaches within the OODA Loop focus area to include dynamic sensing and processing allocation strategies.
AI/ML for Next Generation of Missile Detection, Warning, Tracking, and Reporting
New opportunity: AI/ML for Next Generation of Missile Detection, Warning, Tracking, and Reporting
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