<ul><li>The adoption of extremely large antennas in high-frequency bands is driving the demand for accurate near-field localization.</li><li>This research proposes AI-aided subspace methods for near-field localization, addressing limitations of conventional techniques.</li><li>Specifically, NF-SubspaceNet uses deep learning to improve localization in challenging conditions, while DCD-MUSIC decouples angle and range estimation to reduce complexity.</li><li>Simulation results show that these methods outperform classical and existing deep-learning-based techniques for near-field localization.</li></ul>

Near Field Localization via AI-Aided Subspace Methods

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