Cited By
View all- Al-Okby MJunginger SRoddelkopf TThurow K(2024)UWB-Based Real-Time Indoor Positioning Systems: A Comprehensive ReviewApplied Sciences10.3390/app14231100514:23(11005)Online publication date: 26-Nov-2024
Ultra-wideband/BDS Indoor and Outdoor Seamless Positioning Algorithm Based on FNN-WCF
Pages 1120 - 1125
Abstract
In order to enable the positioning system to complete real-time positioning in indoor and outdoor environments, an Ultra-wide band/Beidou indoor and outdoor seamless positioning algorithm based on fuzzy neural network and weighted cost function (FNN-WCF) is proposed. Through the analysis of multi-source data, the influencing factors needed in the network handover are determined, and the FNN-WCF handover model is constructed to realize seamless handover between different positioning subsystems. Perform operations such as fuzzing and defuzzifying each parameter to calculate the function value of different subsystems, and then compare the size of the function value to choose whether to switch. Experimental results show that the model can effectively realize the vertical switching between different positioning subsystems, and the positioning accuracy is less than 0.25m.
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Index Terms
- Ultra-wideband/BDS Indoor and Outdoor Seamless Positioning Algorithm Based on FNN-WCF
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Published In
September 2022
1221 pages
ISBN:9781450396899
DOI:10.1145/3573942
Copyright © 2022 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
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Published: 16 May 2023
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AIPR 2022
AIPR 2022: 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
September 23 - 25, 2022
Xiamen, China
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View all- Al-Okby MJunginger SRoddelkopf TThurow K(2024)UWB-Based Real-Time Indoor Positioning Systems: A Comprehensive ReviewApplied Sciences10.3390/app14231100514:23(11005)Online publication date: 26-Nov-2024
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