Journal ArticleDOI
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
Suining He,S.-H. Gary Chan +1 more
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TLDR
This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment.Abstract:
The growing commercial interest in indoor location-based services (ILBS) has spurred recent development of many indoor positioning techniques. Due to the absence of global positioning system (GPS) signal, many other signals have been proposed for indoor usage. Among them, Wi-Fi (802.11) emerges as a promising one due to the pervasive deployment of wireless LANs (WLANs). In particular, Wi-Fi fingerprinting has been attracting much attention recently because it does not require line-of-sight measurement of access points (APs) and achieves high applicability in complex indoor environment. This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment. Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors. Regarding efficient system deployment, we discuss recent advances on reducing offline labor-intensive survey, adapting to fingerprint changes, calibrating heterogeneous devices for signal collection, and achieving energy efficiency for smartphones. We study and compare the approaches through our deployment experiences, and discuss some future directions.read more
Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Proceedings Article
WiFi-SLAM Using G aussian Process Latent Variable Models
TL;DR: In this paper, the Gaussian Process Latent Variable Model (GPLVM) is used to reconstruct a topological connectivity graph from a signal strength sequence, which can be used to perform efficient WiFi SLAM.
Journal ArticleDOI
A Survey of Selected Indoor Positioning Methods for Smartphones
Pavel Davidson,Robert Piche +1 more
TL;DR: Methods for step counting, step length and direction estimation, orientation tracking, motion classification, transit mode detection, and floor change detection in multi-storey buildings are discussed.
Journal ArticleDOI
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
Xuyu Wang,Lingjun Gao,Shiwen Mao +2 more
TL;DR: In this paper, a fingerprinting system for indoor localization with calibrated channel state information (CSI) phase information is proposed, where a greedy learning algorithm is incorporated to train the weights layer-by-layer to reduce computational complexity.
Journal ArticleDOI
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation
TL;DR: This survey provides a comprehensive review of cellular localization systems including recent results on 5G localization, and solutions based on wireless local area networks, highlighting those that are capable of computing 3D location in multi-floor indoor environments.
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