Multistation Target Localization via Direction-of-Arrival: An Efficient Multiagent Deep Reinforcement Learning Approach
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DOI: 10.1109/jiot.2025.3588577
Abstract: Accurate direction-of-arrival (DOA) estimation and localization are essential for navigation and positioning. However, most existing model-based approaches are restricted to specific scenarios, which results in poor scalability. In addition, deep learning–based methods require extensive data… read more here.
Keywords: direction; target localization; multistation; localization ... See more keywords