Aiming at the problem of indoor environment, signal non-line-of-sight propagation and other
factors affect the accuracy of indoor locating, an algorithm of indoor fingerprint localization …

This paper proposes a fingerprint-based indoor localization method, named FPFE
(fingerprint feature extraction), to locate a target device (TD) whose location is unknown …

Localization and tracking of personnel and equipment are technical issues that urgently
need to be solved for Indoor positioning. To improve the accuracy and environmental …

With the development of information technology, people's demand for location-based
services is gradually increasing. Indoor localization and navigation is becoming increasingly …

This paper presents an indoor localization system based on Bisecting k-means (BKM). BKM
is a more robust clustering algorithm compared to k-means. Specifically, BKM based indoor …

Nowadays, human indoor localization services inside buildings or on underground streets
are in strong demand for various location-based services. Since conventional GPS cannot …

The Accurate indoor localization is a challenging task due to the absence of GPS. Among
numerous proposals, Wifi fingerprint-based localization is one of the most promising …

Recent developments in the fields of smartphones and wireless communication
technologies such as beacons, Wi‐Fi, and ultra‐wideband have made it possible to realize …

A desirable fingerprint-based indoor localization (FIL) system aims to achieve an accurate
positioning result within an acceptable time consumption, which is still challenging for …

Considering the low indoor positioning accuracy and poor positioning stability of traditional
machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted …