The US Missile Defense Agency (MDA) is rolling out a software enhancement for its ballistic missile early warning radar network to improve object classification during the midcourse stage of missile flight.
The upgrade will enable the Upgraded Early Warning Radars (UEWR) to more precisely detect, identify, and track incoming ballistic missiles aimed at the continental United States.
Operational since the early 2000s, the radar network comprises five UEWR sites — three across the US, one in Greenland, and another in the UK.
Designed primarily to detect and monitor intercontinental and submarine-launched ballistic missiles, the UEWR system also contributes to general space surveillance and satellite tracking.
With a detection range exceeding 3,000 miles (4,828 kilometers) and coverage between 240 and 360 degrees, the phased-array radars provide essential early-warning and tracking data to guide interceptor launches and maintain real-time target updates.
The UEWR network serves as a critical component of the Ground-Based Midcourse Defense (GMD) system, which protects the US from long-range ballistic missile threats.
Enhancing Midcourse Detection
The GMD system currently fields 44 interceptors based in Alaska and California, optimized to counter a limited number of ICBMs during their midcourse trajectory — the most vulnerable stage for interception.
However, operational tests have revealed challenges in distinguishing real warheads from decoys and countermeasures, reducing the system’s overall effectiveness against complex or large-scale attacks.
To strengthen its detection and classification capabilities, the MDA is implementing the Advanced Object Classification (AOC) program — a phased software upgrade for the UEWR.
Advanced Algorithms for Precision
The AOC leverages advanced signal processing and machine learning to enhance tracking and discrimination accuracy during the roughly 20-minute midcourse phase of missile flight.
The initial version, AOC 1.0, has already been deployed at select radar sites since the early 2020s.
The upcoming AOC 1.1 release will further refine classification accuracy without modifying the radar’s existing hardware or waveforms, introducing next-generation algorithms for superior object recognition and threat evaluation.
