AI-Enabled Multi-Sensor Information Fusion for Short-Arc Space Object Tracking in Distributed Sensor Networks

This dataset contains simulated multi-sensor observations and corresponding ground-truth data generated for research on short-arc space object tracking in distributed sensor networks. The dataset is designed to support the evaluation and reproducibility of AI-enabled multi-sensor information fusion methods for space object detection, data association, and tracking. The dataset includes sensor measurements such as range, Doppler, angular measurements, timestamps, sensor identifiers, and corresponding ground-truth space object states. The data may include realistic measurement noise, false alarms, and missed detections according to the experimental configurations described in the associated manuscript.