The state of the art of deep learning-based Wi-Fi indoor positioning: A review

Y Lin, K Yu, F Zhu, J Bu, X Dua - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Wi-Fi positioning has drawn great attention in the field of indoor positioning, due to its low
cost, easy deployment, and large positioning range. However, the Wi-Fi signal is highly …

Machine learning-assisted intelligent interpretation of distributed fiber optic sensor data for automated monitoring of pipeline corrosion

Y Liu, X Tan, Y Bao - Measurement, 2024 - Elsevier
Distributed fiber optic sensor (DFOS) offers unique capabilities of monitoring corrosion for
long pipelines. However, manually interpreting DFOS data is labor-intensive and time …

Dual free-size LS-SVM assisted maximum correntropy Kalman filtering for seamless INS-based integrated drone localization

Y Xu, D Wan, YS Shmaliy, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
It is known that in seamless inertial navigation system (INS)-based integrated drone
localization, once data outage occurs in auxiliary measurement technologies, such as global …

[HTML][HTML] A survey on Ultra Wide Band based localization for mobile autonomous machines

N Xu, M Guan, C Wen - Journal of Automation and Intelligence, 2025 - Elsevier
The fast growth of mobile autonomous machines from traditional equipment to unmanned
autonomous vehicles has fueled the demand for accurate and reliable localization solutions …

UWB NLOS recognition based on improved convolutional neural network assisted by wavelet analysis and Gramian angular field

X Deng, Z **, R Sun - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the ultrawideband (UWB)-based indoor wireless positioning scene, nonline-of-sight
(NLOS) is a common phenomenon due to the existence of obstacles and it may result in …

Robust LOS/NLOS Identification for UWB Signals Using Improved Fuzzy Decision Tree Under Volatile Indoor Conditions

F Zhu, K Yu, Y Lin, C Wang, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultra-wideband (UWB) is a very promising indoor wireless positioning technology. However,
in the harsh and volatile indoor environment, the propagation of UWB signals is vulnerable …

UWB NLOS identification and mitigation based on gramian angular field and parallel deep learning model

B Deng, T Xu, M Yan - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Ultrawideband (UWB) wireless localization technology has been widely applied in the field
of indoor localization due to its good ability of noise resistance, strong penetration, and high …

Accurate Multiclass NLOS Channels Identification in UWB Indoor Positioning System-Based Deep Neural Network

AF Majeed, R Arsat, MA Baharudin, NMA Latiff… - IEEE …, 2024 - ieeexplore.ieee.org
The accurate distinction between line-of-sight (LOS) and non-line-of-sight (NLOS)
propagation channels is paramount for precise distance measurement within ultra-wideband …

A simple efficient lightweight cnn method for los/nlos identification in wireless communication systems

Y Zhu, B Xu, J Wang, Y Li, W Qi - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Line-of-sight (LOS)/Non-line-of-sight (NLOS) identification in wireless communication
systems is crucial for positioning, mobile communication, and wireless sensing …

Research on None-Line-of-Sight/Line-of-Sight Identification Method Based on Convolutional Neural Network-Channel Attention Module

J Zhang, Q Yi, L Huang, Z Yang, J Cheng, H Zhang - Sensors, 2023 - mdpi.com
None-Line-of-Sight (NLOS) propagation of Ultra-Wideband (UWB) signals leads to a
decrease in the reliability of positioning accuracy. Therefore, it is essential to identify the …