Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
Machine learning-enabled LOS/NLOS identification for MIMO systems in dynamic environments
Discriminating between line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, or LOS
identification, is important for a variety of purposes in wireless systems, including localization …
identification, is important for a variety of purposes in wireless systems, including localization …
Feature-based generalized Gaussian distribution method for NLoS detection in ultra-wideband (UWB) indoor positioning system
Nonline-of-sight (NLoS) propagation condition is a crucial factor affecting the precision of the
localization in the ultra-wideband (UWB) indoor positioning system (IPS). Numerous …
localization in the ultra-wideband (UWB) indoor positioning system (IPS). Numerous …
Fingerprinting-assisted UWB-based localization technique for complex indoor environments
Among the numerous radio-based solutions for indoor localization, ultra-wideband (UWB)
technology is of particular interest due to its signal characteristics. The wide bandwidth of the …
technology is of particular interest due to its signal characteristics. The wide bandwidth of the …
[HTML][HTML] Identification of NLOS and multi-path conditions in UWB localization using machine learning methods
CL Sang, B Steinhagen, JD Homburg, M Adams… - Applied Sciences, 2020 - mdpi.com
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 …
An adaptive IMU/UWB fusion method for NLOS indoor positioning and navigation
Indoor positioning system (IPS) plays an important role in the applications of Internet of
Things (IoT), including intelligent hospital, logistics, and warehousing. Ultrawideband (UWB) …
Things (IoT), including intelligent hospital, logistics, and warehousing. Ultrawideband (UWB) …
[HTML][HTML] Improving deep learning-based UWB LOS/NLOS identification with transfer learning: An empirical approach
This paper presents an improved ultra-wideband (UWB) line of sight (LOS)/non-line of sight
(NLOS) identification scheme based on a hybrid method of deep learning and transfer …
(NLOS) identification scheme based on a hybrid method of deep learning and transfer …
Robust ultra-wideband range error mitigation with deep learning at the edge
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless
localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) …
localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) …
A decision tree‐based NLOS detection method for the UWB indoor location tracking accuracy improvement
A Musa, GD Nugraha, H Han, D Choi… - International Journal …, 2019 - Wiley Online Library
Among existing wireless technologies, ultra‐wideband (UWB) is the most promising solution
for indoor location tracking. UWB has a great multipath fading immunity; however, great …
for indoor location tracking. UWB has a great multipath fading immunity; however, great …