A survey of indoor positioning systems for wireless personal networks

By Yanying Gu, Anthony C. C. Lo, Ignas G. Niemegeers. IEEE Communications Surveys and Tutorials, 2009

1,682 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a54dd6428bc2200246b896655ba28822a7f82264

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2017, background): “Thus, the survey in ‎[12] is somewhat outdated, whereas the authors of ‎[8] focus only on ultrasonic positioning systems.”
Indoor Positioning Systems Based on Visible Light Communication: State of the Art (2017, background): “According to a recent survey [5], there are various indoor positioning technologies proposed such as Radio-Frequency Identification (RFID) [6], [7], Ultra-Wideband (UWB) [8], Wi-Fi [9], [10], and fingerprint [11].”
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, methodology): “On the one hand, fingerprinting techniques are typically implemented in WLAN systems [15], [18], [20], [26], to take advantage of”
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach (2016, background): “Indoor localization has attracted considerable interest in the research community with many interesting prior works [18], [19].”
A survey of active and passive indoor localisation systems (2012, background): “However the price to deploy such a system is high, about $16.875 for the research package [21] Ekahau is a commercial positioning system that uses WLANs and tracks electronic devices such as tags, personal digital assistants (PDAs), PCs, handsets equipped with wireless network cards.”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, background): “Brief reviews on enabling wireless technologies for localization are available in [15] and [18], and an overview of localization methods is presented in [11], [14], [16], and [19].”
Evolution of Indoor Positioning Technologies: A Survey (2017, background): “[14] omitted inertial navigation, ambient magnetic fingerprinting, the use of encoded patterns in artificial light (fluorescent or LED), ambient light analysis, the use of audible sound transmitted by the infrastructure (some with encoded patterns), RFID where the tags are fixed and the reader is mo”
Indoor location sensing using geo-magnetism (2011, methodology): “Wireless-based indoor positioning system [6] by Liu et al.”
CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach (2016, background): “There has been considerable literature on indoor localization 802 [18].”
UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems (2014, background): “Other WLAN-based works as [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] have been not included in Table I since they do not provide information about the characteristics of the database or the information provided shows that their databases are very s”
Recent Advances in Wireless Indoor Localization Techniques and System (2013, methodology): “ToA is the most accurate technique used in indoor environment which can filter out multi-path effects [4].”
A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time (2017, background): “Traditionally, indoor positioning systems (IPS) can been considered as systems that function continuously and in real-time to provide the locations of humans or objects in indoor areas [12].”