A survey on fusion-based indoor positioning

X Guo, N Ansari, F Hu, Y Shao… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

Indoor intelligent fingerprint-based localization: Principles, approaches and challenges

X Zhu, W Qu, T Qiu, L Zhao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …

A survey of machine learning for indoor positioning

A Nessa, B Adhikari, F Hussain, XN Fernando - IEEE access, 2020 - ieeexplore.ieee.org
Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …

Robust WiFi localization by fusing derivative fingerprints of RSS and multiple classifiers

X Guo, NR Elikplim, N Ansari, L Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
It is notable that localization accuracy using received signal strength (RSS) fingerprints
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …

Indoor localization using visible light via fusion of multiple classifiers

X Guo, S Shao, N Ansari, A Khreishah - IEEE photonics journal, 2017 - ieeexplore.ieee.org
We propose a localization technique by fusing multiple classifiers based on received signal
strengths (RSSs) of visible light in which different intensity-modulated sinusoidal signals …

Indoor localization by fusing a group of fingerprints based on random forests

X Guo, N Ansari, L Li, H Li - IEEE internet of things journal, 2018 - ieeexplore.ieee.org
Indoor localization is becoming critical to empower Internet of Things for various
applications, such as asset tracking, autonomous parking, virtual reality, context awareness …

Accurate WiFi localization by fusing a group of fingerprints via a global fusion profile

X Guo, L Li, N Ansari, B Liao - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
The existing indoor localization approaches based on single fingerprints, such as received
signal strength (RSS) and channel impulse response, are rather susceptible to the changing …

Crowdsourcing and multisource fusion-based fingerprint sensing in smartphone localization

W Zhao, S Han, RQ Hu, W Meng, Z Jia - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Traditional WiFi fingerprint positioning normally uses a time consuming and labor intensive
process called site survey. This paper proposes a crowdsourcing and multisource fusion …

A hybrid fingerprint quality evaluation model for WiFi localization

L Li, X Guo, N Ansari, H Li - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The main drawback for large-scale applications of WiFi-based localization is the varying
characteristics of received signal strength (RSS), which degenerates the localization …

Fingerprint-based localization using commercial LTE signals: A field-trial study

H Zhang, Z Zhang, S Zhang, S Xu… - 2019 IEEE 90th …, 2019 - ieeexplore.ieee.org
Wireless localization for mobile device has attracted more and more interests by increasing
the demand for location based services. Fingerprint-based localization is promising …