An improved K-nearest-neighbor indoor localization method based on spearman distance

Y Xie, Y Wang, A Nallanathan… - IEEE signal processing …, 2016 - ieeexplore.ieee.org
Indoor localization based on existing Wi-Fi Received Signal Strength Indicator (RSSI) is
attractive since it can reuse the existing Wi-Fi infrastructure. However, it suffers from dramatic …

Received signal strength-based indoor localization using hierarchical classification

C Zhang, N Qin, Y Xue, L Yang - Sensors, 2020 - mdpi.com
Commercial interests in indoor localization have been increasing in the past decade. The
success of many applications relies at least partially on indoor localization that is expected …

Integrated statistical test of signal distributions and access point contributions for Wi-Fi indoor localization

M Zhou, Y Li, MJ Tahir, X Geng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the broad deployment of Wi-Fi networks, the Received Signal Strength (RSS) based Wi-
Fi indoor localization has attained much interest of both academia and industry. At present …

Improved Wi-Fi RSSI measurement for indoor localization

W Xue, W Qiu, X Hua, K Yu - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Indoor localization based on Wi-Fi received signal strength indication (RSSI) has the
advantage of low cost and easy implementation compared with a range of other localization …

5 G WiFi Signal-Based Indoor Localization System Using Cluster k-Nearest Neighbor Algorithm

F Yu, M Jiang, J Liang, X Qin, M Hu… - … journal of distributed …, 2014 - journals.sagepub.com
Indoor localization based on existent WiFi signal strength is becoming more and more
prevalent and ubiquitous. Unfortunately, the WiFi received signal strength (RSS) is …

[HTML][HTML] Convolutional neural network and dual-factor enhanced variational Bayes adaptive Kalman filter based indoor localization with Wi-Fi

B Zhao, D Zhu, T Xi, C Jia, S Jiang, S Wang - Computer Networks, 2019 - Elsevier
Various research works have been proposed for Wi-Fi-based indoor localization, including
Received Signal Strength Indicator (RSSI)-based fingerprint algorithm, Angle of Arrival …

An indoor Wi-Fi localization algorithm using ranging model constructed with transformed RSSI and BP neural network

Y Lin, K Yu, L Hao, J Wang, J Bu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper focuses on improving indoor Wi-Fi localization by mitigating the effect of
fluctuation of received signal strength indication (RSSI). The RSSI data collected at each …

Fingerprint and assistant nodes based Wi-Fi localization in complex indoor environment

Q Li, W Li, W Sun, J Li, Z Liu - IEEE Access, 2016 - ieeexplore.ieee.org
With the extensive development of Wi-Fi, indoor location services based on received signal
strength (RSS) fingerprints have attracted increasing attention from researchers. In complex …

Genetic algorithm for path loss model selection in signal strength-based indoor localization

B Lee, D Ham, J Choi, SC Kim, YH Kim - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Ranging methods using received signal strength (RSS) information are widely used for
indoor localization because they can be easily implemented without conducting site surveys …

Kalman filter-based data fusion of Wi-Fi RTT and PDR for indoor localization

X Liu, B Zhou, P Huang, W Xue, Q Li… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The Fine Time Measurement (FTM) protocol introduced by IEEE 802.11 includes a new
ranging method, named Wi-Fi Round Trip Time (Wi-Fi RTT), which can be used for indoor …