Survey of Datasets for Machine Learning in Radio-Frequency Signal Source Localization and Emitter Tracking
AI-Driven Innovation and Smart Systems: 46AI 2025
Machine learning (ML) has emerged as a transformative approach for radio frequency (RF) signal source localization and emitter tracking, providing data-driven solutions that extend beyond traditional analytical models. Progress in this area is fundamentally linked to the availability of datasets that capture realistic propagation characteristics…