Using Machine Learning Approaches to Improve Ultra-Wideband Positioning-Reference-Cited by-同舟云学术

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Using Machine Learning Approaches to Improve Ultra-Wideband Positioning

Published:2021-09 Issue:5 Volume:22 Page:1019-1029
ISSN:1607-9264
Container-title:網際網路技術學刊
language:
Short-container-title:Journal of Internet Technology

Author:

Che-Cheng Chang Che-Cheng Chang,Che-Cheng Chang Hong-Wen Wang,Hong-Wen Wang Yu-Xiang Zeng,Yu-Xiang Zeng Jin-Da Huang

Abstract

Publisher

Angle Publishing Co., Ltd.

Subject

Computer Networks and Communications,Software

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Positioning Improvement with Multiple GPS Receivers Based on Shallow Asymmetric Neural Network;Electronics;2024-01-29

2. Drone Visual Positioning Algorithm with Convolutional Neural Network;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

3. Utilizing Ensemble Learning to Improve the Distance Information for UWB Positioning;Applied Sciences;2022-09-25

4. Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area;Multimedia Tools and Applications;2022-04-08

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