Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms
Ultra-wideband (UWB) positioning systems are widely applied in localization. However, in complex environments with numerous obstacles, Non-Line-of-Sight (NLOS) propagation of UWB signals can occur, significantly affecting accuracy. Effective identification of Line-of-Sight (LOS) and NLOS signals is...
Saved in:
| Main Authors: | Shoude Wang, Nur Syazreen Ahmad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10716641/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation
by: Yanxu Liu, et al.
Published: (2025-04-01) -
RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems
by: Jiacheng Ni, et al.
Published: (2025-01-01) -
Attention based LSTM framework for robust UWB and INS integration in NLOS environments
by: Meilin Ren, et al.
Published: (2025-07-01) -
Accurate Multiclass NLOS Channels Identification in UWB Indoor Positioning System-Based Deep Neural Network
by: Ammar Fahem Majeed, et al.
Published: (2024-01-01) -
UWB Base Station Deployment Optimization Method Considering NLOS Effects Based on Levy Flight-Improved Particle Swarm Optimizer
by: Shengliang Wang, et al.
Published: (2025-03-01)