利用机器学习结合 Nyström 核近似法增强 3D 室内可见光定位功能

IF 3.2 1区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Broadcasting Pub Date : 2024-08-07 DOI:10.1109/tbc.2024.3437216

Vasileios P. Rekkas, Sotirios P. Sotiroudis, Lazaros Alexios Iliadis, Sander Bastiaens, Wout Joseph, David Plets, Christos G. Christodoulou, George K. Karagiannidis, Sotirios K. Goudos

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhancing 3D Indoor Visible Light Positioning With Machine Learning Combined Nyström Kernel Approximation

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来源期刊

IEEE Transactions on Broadcasting 工程技术-电信学

CiteScore

9.40

自引率

31.10%

发文量

审稿时长

6-12 weeks

期刊介绍： The Society’s Field of Interest is “Devices, equipment, techniques and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.” In addition to this formal FOI statement, which is used to provide guidance to the Publications Committee in the selection of content, the AdCom has further resolved that “broadcast systems includes all aspects of transmission, propagation, and reception.”