G Wang, W Zhu, N Ansari - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Accurate localization is critical to facilitate location services for Internet of Things (IoT). It is particular challenging to provision localization based on nonline-of-sight (NLOS) signals …
Y Li, S Ma, G Yang, KK Wong - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Localization is particularly challenging when the environment has mixed line-of-sight (LOS) and non-LOS paths and even more challenging if the anchors' positions are also uncertain …
Y Zhu, W Xia, F Yan, L Shen - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
To identify NLOS propagations for a high-resolution wireless localization system, a strong NLOS classifier is proposed via a machine learning algorithm named AdaBoost. Signal …
Z Wang, R Liu, Q Liu, L Han… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Reliable positioning services are extremely important for users in mountainous environments. However, in such environments, the service reliability of conventional …
Y Zhu, F Yan, S Zhao, F Shen, S Xing… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cooperative localization has emerged as an appealing technology since it can improve the localization performance without any infrastructure change compared with non-cooperative …
Abstract Non-line-of-sight (NLOS) propagation, which widely exists in wireless systems, will degrade the performance of wireless positioning system if it is not taken into consideration in …
In the context of outdoor localization over systems impaired by non-line of sight (NLoS), the minimum error entropy with fiducial points (MEE-FP) based methods have emerged as …
X Yu, P Ji, Y Wang, H Chu - Journal of sensors, 2017 - Wiley Online Library
Mobile localization estimation is a significant research topic in the fields of wireless sensor network (WSN), which is of concern greatly in the past decades. Non‐line‐of‐sight (NLOS) …