Positioning Algorithm of UWB based on TDOA Technology in Indoor Environment
Author:
Affiliation:
1. School of Information Hunan University of Humanities, Science and Technology,Loudi,China
Funder
National Natural Science Foundation of China
Construct Program of the Key Discipline in Hunan Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9750550/9750417/09750418.pdf?arnumber=9750418
Reference10 articles.
1. NLOS identification and mitigation for localization based on UWB experimental data
2. Statistical characterization and mitigation of NLOS errors in UWB localization systems
3. Complex permittivity determination based on a radio frequency device
4. Indoor Localization Algorithm for NLOS Environment [J];mao;Acta Electronica Sinica,2016
5. Experimental researches on an UWB NLOS identification method based on machine learning[C];li;IEEE international conference on communication technology,0
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3. Accurate Indoor Positioning for UWB-Based Personal Devices Using Deep Learning;IEEE Access;2023
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