Temporal correlation of the RSS improves accuracy of fingerprinting localization

M Wang, Z Zhang, X Tian… - IEEE INFOCOM 2016-The …, 2016 - ieeexplore.ieee.org
Indoor localization based on RSS fingerprinting approach has been attracting many
research efforts in the past decades. Recent study presents a fundamental limit of the …

Improve accuracy of fingerprinting localization with temporal correlation of the RSS

X Tian, M Wang, W Li, B Jiang, D Xu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recent study presents a fundamental limit of the RSS fingerprinting based indoor
localization. In this paper, we theoretically show that the temporal correlation of the RSS can …

Squeeze more from fingerprints reporting strategy for indoor localization

Z Zhang, D Liu, S Zhu, S Chen… - 2016 13th Annual IEEE …, 2016 - ieeexplore.ieee.org
Recent study on Wi-Fi RSS fingerprinting based indoor localization reveals that reporting
fingerprints with respect to different set of access points (APs) results in location estimations …

Fundamental limits of RSS fingerprinting based indoor localization

Y Wen, X Tian, X Wang, S Lu - 2015 IEEE conference on …, 2015 - ieeexplore.ieee.org
Indoor localization has been an active research field for decades, where the received signal
strength (RSS) fingerprinting based methodology is widely adopted and induces many …

Performance analysis of RSS fingerprinting based indoor localization

X Tian, R Shen, D Liu, Y Wen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Indoor localization has been an active research field for decades, where received signal
strength (RSS) fingerprinting based methodology is widely adopted and induces many …

CSI fingerprinting localization with low human efforts

X Tong, Y Wan, Q Li, X Tian… - IEEE/ACM Transactions …, 2020 - ieeexplore.ieee.org
Fingerprinting indoor localization systems exploit wireless signal propagation features to
estimate the location of wireless devices, where the major challenge in practice is the all …

Online joint localization without user interactions

Y Le, J Ou, Y Chen, H Yao - Scientific Reports, 2023 - nature.com
Wi-Fi fingerprinting has been a popular indoor localization due to the widespread layout of
indoor WLAN. However, the signal fluctuations in the complex environments make it difficult …

Indoor region localization with asynchronous sensing data: A Bayesian probabilistic model

W Liang, Y Wang, Z Wu, B Mao, J Cao - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Obtaining accurate location information of tracked objects is the cornerstone of providing
high-quality location-based services (LBSs). Recently, passive localization has become an …

Dealing with Insufficient Location Fingerprints in Wi‐Fi Based Indoor Location Fingerprinting

K Dong, Z Ling, X Xia, H Ye, W Wu… - … and Mobile Computing, 2017 - Wiley Online Library
The development of the Internet of Things has accelerated research in the indoor location
fingerprinting technique, which provides value‐added localization services for existing …

Wi-Fi indoor localization based on multi-task deep learning

WY Lin, CC Huang, NT Duc… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
Conventional Wi-Fi-based indoor localization methods rely on training a RSS fingerprint
model to predict user locations. Most fingerprinting models only consider the distribution of …