Peak Ratio Iteration-Based Leading-Edge Detection Algorithm in UWB Localization-Reference-Cited by-同舟云学术

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Peak Ratio Iteration-Based Leading-Edge Detection Algorithm in UWB Localization

Published:2023-06-03 Issue:3 Volume:131 Page:1663-1683
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Cong Feiyun,Hong Zongheng,Lin Xiaojie,Li Huimin

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-023-10517-x.pdf

Reference26 articles.

1. Mazhar, F., Khan, M. G., & Sällberg, B. (2017). Precise indoor positioning using UWB: A review of methods, algorithms and implementations. Wireless Personal Communications, 97(3), 4467–4491.

2. Guo, Q., Niu, R., & Song X. (2022). Indoor UWB positioning technology research based on the NLOS identification. In Proceedings of SPIE - The international society for optical engineering.

3. Pan, H., Qi, X., Liu, M., & Liu, L. (2021). Map-aided and UWB-based anchor placement method in indoor localization. Neural Computing and Applications, 33(18), 11845–11859. https://doi.org/10.1007/s00521-021-05851-9

4. Xu, T., Zhang, H., Zhou, X., Yuan, X., Tan, X., Zhang, J., & Zhong, H. (2022). A weight adaptive Kalman filter localization method based on UWB and Odometry. In ICARM 2022 - 2022 7th IEEE international conference on advanced robotics and mechatronics.

5. Zhou, T., & Cheng, Y. (2021). Positioning algorithm of UWB based on TDOA technology in indoor environment. In Proceedings - 11th international conference on information technology in medicine and education, ITME 2021.

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