A Particle Filter-Based Ultra-Wideband Indoor Localization optimization Algorithm
Author:
Affiliation:
1. Chongqing Jiaotong University,Chongqing,China,400074
Funder
Chongqing Jiaotong University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10262403/10262831/10262931.pdf?arnumber=10262931
Reference23 articles.
1. A Review of Indoor Positioning Technology Research[J];Cao;Comput. Technol. Dev,2020
2. Ultra Wideband Indoor Positioning System based on Artificial Intelligence Techniques
3. Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances
4. Multiple-Vehicle Localization Using Maximum Likelihood Kalman Filtering and Ultra-Wideband Signals
5. Survey on NLOS Identification and Error Mitigation for UWB Indoor Positioning
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1. Enhanced Indoor Positioning System Using Ultra-Wideband Technology and Machine Learning Algorithms for Energy-Efficient Warehouse Management;Energies;2024-08-19
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