Research on indoor Three-dimensional positioning algorithm based on robust adaptive Kalman filtering and Time of Arrival algorithm
Authors: 
Kun He, Wei He, Zhifei Dong, Jiangnan Liu, Yuji WangAuthors Info & Claims
Pages 772 - 776
Abstract
With the rapid development of wireless technology, indoor high-precision positioning is getting more and more attention. In this paper, an improved TOA combined with robust adaptive Kalman filtering localization algorithm is proposed. The three-dimensional coordinates of the target node are solved by TOA algorithm and combined with robust adaptive Kalman filtering algorithm for further optimization. The experimental results show that the algorithm has the features of high accuracy and stability of localization.
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Published In
September 2023
1540 pages
ISBN:9798400707674
DOI:10.1145/3641584
Copyright © 2023 ACM.
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Published: 14 June 2024
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AIPR 2023
AIPR 2023: 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
September 22 - 24, 2023
Xiamen, China
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