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NLOS identification and mitigation for time-based indoor localization systems: survey and future research directions
One hurdle to accurate indoor localization using time-based networks is the presence of
Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor …
Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor …
An overview on position location: Past, present, future
Prior to the 21st century, positioning technologies had limited applications including air
traffic control, air and sea navigation, satellite communications and related military uses …
traffic control, air and sea navigation, satellite communications and related military uses …
UWB NLOS/LOS classification using deep learning method
C Jiang, J Shen, S Chen, Y Chen… - IEEE Communications …, 2020 - ieeexplore.ieee.org
Ultra-Wide-Band (UWB) was recognized as its great potential in constructing accurate
indoor position system (IPS). However, indoor environments were full of complex objects …
indoor position system (IPS). However, indoor environments were full of complex objects …
[HTML][HTML] Identification of NLOS and multi-path conditions in UWB localization using machine learning methods
In ultra-wideband (UWB)-based wireless ranging or distance measurement, differentiation
between line-of-sight (LOS), non-line-of-sight (NLOS), and multi-path (MP) conditions is …
between line-of-sight (LOS), non-line-of-sight (NLOS), and multi-path (MP) conditions is …
NLOS identification using parallel deep learning model and time-frequency information in UWB-based positioning system
J Wei, H Wang, S Su, Y Tang, X Guo, X Sun - Measurement, 2022 - Elsevier
Ultra wide band (UWB) radio positioning technology is widely used in indoor high-precision
positioning scenes, while obstacles in the wireless signal propagation path will cause the …
positioning scenes, while obstacles in the wireless signal propagation path will cause the …
FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism
Y Pei, R Chen, D Li, X **ao, X Zheng - Geo-Spatial Information …, 2024 - Taylor & Francis
ABSTRACT The Ultra-Wideband (UWB) Location-Based Service is receiving more and more
attention due to its high ranging accuracy and good time resolution. However, the None-Line …
attention due to its high ranging accuracy and good time resolution. However, the None-Line …
Ultra inertial poser: Scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging
While camera-based capture systems remain the gold standard for recording human motion,
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
Feature selection for real-time NLOS identification and mitigation for body-mounted UWB transceivers
Ultra-wideband (UWB) is a popular technology for indoor positioning systems (IPSs) due to
its robust signaling in harsh environments, through-wall propagation, and high-resolution …
its robust signaling in harsh environments, through-wall propagation, and high-resolution …
An indoor localization algorithm based on modified joint probabilistic data association for wireless sensor network
L Cheng, Y Li, M Xue, Y Wang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Due to the localization accuracy of global positioning system (GPS) cannot meet the
requirements in indoor environment, the wireless sensor network (WSN) techniques are …
requirements in indoor environment, the wireless sensor network (WSN) techniques are …
Deep learning-based ranging error mitigation method for UWB localization system in greenhouse
The intelligent devices in indoor agriculture put forward high requirements for localization.
However, the narrow space and various obstacles in the greenhouse generate non-line-of …
However, the narrow space and various obstacles in the greenhouse generate non-line-of …