The state of the art of deep learning-based Wi-Fi indoor positioning: A review
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 …
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
Distributed fiber optic sensor (DFOS) offers unique capabilities of monitoring corrosion for
long pipelines. However, manually interpreting DFOS data is labor-intensive and time …
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 …
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
The fast growth of mobile autonomous machines from traditional equipment to unmanned
autonomous vehicles has fueled the demand for accurate and reliable localization solutions …
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 …
(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 …
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 …
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
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 …
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 …
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 …
decrease in the reliability of positioning accuracy. Therefore, it is essential to identify the …