Analysis of Machine Learning-Based NLOS Signal Identification Algorithm for UWB Indoor Localization Using CIR Waveform Features

5 citations as recorded by crossref.

1. Research on UWB NLOS Identification and Mitigation Methods Based on Gramian Angular Field and Hybrid Fusion Neural Network C. Zhu et al. https://doi.org/10.1109/JIOT.2025.3621161
2. High-Precision Indoor UWB Positioning using XGBoost-based Distance Correction and Kalman Filter Fusion S. Baek https://doi.org/10.14801/jkiit.2025.23.10.87
3. Machine Learning Integration in Ultra-Wideband-Based Indoor Positioning Systems: A Comprehensive Review J. Santamaria-Pedrón et al. https://doi.org/10.3390/electronics15010181
4. DUST: Discrete Unit Sequence Transformer for Ultrawideband Non-Line-of-Sight Identification Y. Sun et al. https://doi.org/10.1109/TIM.2026.3697079
5. An Indoor UAV Localization Framework with ESKF Tightly-Coupled Fusion and Multi-Epoch UWB Outlier Rejection J. Zhao et al. https://doi.org/10.3390/s25247673