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• Enabling Accurate Positioning in NLOS Scenarios by Hybrid Machine Learning with Denoising and Inpainting

  The growing interests on accurate positioning has been developed from thriving applications/services including the cellular network operation. The classical positioning methods mostly rely on information extracted from channel information, e.g., time of arrival, angle of arrival (or departure).

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• Framework to ascertain effectiveness of Ultra-Wideband for In-home device control

  AuthorAniruddh Rao Kabbinale, Ankur Bansal, and Karthik Srinivasa Gopalan

  PublishedIEEE Wireless Communications & Networking Conference (WCNC)

  Date2021-12-15

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