Paper
15 November 2023 A regional positioning system for transformer substation based on BDS/INS/UWB
Lifeng Cai, Yubo Zhao, Dong Liu, Puzhuang Jiang, Yulong Fei
Author Affiliations +
Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128152V (2023) https://doi.org/10.1117/12.3010386
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
Regional positioning can provide position information for objects in a certain area. In order to solve the positioning accuracy problem of regional positioning, a regional positioning system based on the integration of Inertial Navigation System (INS), Beidou System (BDS) and UWB System is proposed, so as to achieve accurate positioning in a certain area. Firstly, a multi-dimensional information fusion framework based on Extended Kalman filter (EKF), redundant information filter (RIF) and weighted fusion was proposed. In this framework, RIF_LP (Liner Prediction) algorithm and ILCTA (Information Lossless Coordinate Transformation Algorithm) are proposed. Finally, the experimental results show that the positioning fluctuation amplitude of the fusion positioning scheme is greatly reduced, and the positioning accuracy is higher than each single positioning scheme. The proposed fusion framework and algorithms have certain reference value for the construction of regional fusion positioning.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lifeng Cai, Yubo Zhao, Dong Liu, Puzhuang Jiang, and Yulong Fei "A regional positioning system for transformer substation based on BDS/INS/UWB", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128152V (15 November 2023); https://doi.org/10.1117/12.3010386
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KEYWORDS
Navigation systems

Signal filtering

Tunable filters

Detection and tracking algorithms

Unmanned aerial vehicles

Electronic filtering

Global Positioning System

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