Transformer-based NLoS detection in UWB localization systems
Author:
Affiliation:
1. University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro
2. Jožef Stefan Institute,Dept. for Communication Systems,Ljubljana,Slovenia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983765.pdf?arnumber=9983765
Reference16 articles.
1. Deep Residual Learning for Image Recognition
2. Attention is all you need;vaswani,2017
3. UWB Localization and Tracking Data Set,0
4. Layer normalization;ba,2016
5. A Machine Learning Approach to Ranging Error Mitigation for UWB Localization
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. LSTM-embedding Transformer model for LoS/NLoS recognition in indoor localization;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10
2. Adaptive Extended Kalman Filter Position Estimation Based on Ultra-Wideband Active-Passive Ranging Protocol;IEEE Access;2023
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