Accurate GSM Indoor Localization

By Veljo Otsason, Alex Varshavsky, Anthony LaMarca, Eyal de Lara. Ubiquitous Computing, 2005

556 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Media Technology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/f0073ae85516d3e99f99ba9b06cf8b67d3fdca92

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In Electrical and Electronic Engineering

In Media Technology

In Ocean Engineering

Citations in the corpus

Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning (2009, background): “As a result, the reﬁnement of algorithms for cellular positioning remains an area of active research (e.g. Schwaighofer et al. 2003, Otsason et al. 2005, Chen et al. 2006).”
Hyperbolic Location Fingerprinting: A Calibration-Free Solution for Handling Differences in Signal Strength (concise contribution) (2008, unknown): “[9].”
FM-based indoor localization (2012, background): “developed GSM fingerprint-based indoor localization systems that can achieve slightly worse accuracy to that of WiFi based systems [14, 24].”
Indoor localization in multi-floor environments with reduced effort (2010, methodology): “studied the GSM-based indoor localization by using wide signalstrength fingerprints [11].”
Practical Metropolitan-Scale Positioning for GSM Phones (2006, methodology): “Otsason et al [12] explores client-side indoor GSM location and floor differentiation.”
A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned (2015, background): “Infrastructure-free approaches have focused on leveraging already existing WiFi [5, 15, 49, 40, 41, 45, 6, 22, 47, 50], FM and TV [8, 9, 34, 28, 29, 27, 12, 33, 19, 48], GSM [31, 44], geo-magnetic [10], and sound signals [43] to enable indoor localization through detailed fingerprinting.”
A Survey on Wireless Indoor Localization from the Device Perspective (2016, background): “The features of FM radio signals are investigated in Popleteev et al. [2012]. The advantages of FM for indoor localization are as follows: (1) FM radio consumes less energy than WiFi, which is energy efficient for positioning on a smartphone, as shown in Figure 10; (2) FM signals can penetrate walls”
Context-for-wireless: context-sensitive energy-efficient wireless data transfer (2007, background): “We store a list of all previously seen cell tower IDs.”
A Review of Indoor Localization Techniques and Wireless Technologies (2021, methodology): “In [75], localization was performed using RSS fingerprinting using the Global System for Mobile Communications (GSM) received signals.”
Mobility Detection Using Everyday GSM Traces (2006, methodology): “Our method for detecting user mobility is based on the same principle as fingerprintbased location systems [5, 22]: namely that the radio signals observed from fixed sources are consistent in time, but variable in space.”
Nericell: rich monitoring of road and traffic conditions using mobile smartphones (2008, background): “There has been some recent work on using GSM to perform localization in indoor [36] and outdoor environments [20].”
Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, methodology): “Using this fingerprinting approach, systems have been proposed that use GSM signals (for example [26]), WiFi signals (for example [2, 16]), and also Bluetooth signals [4].”
Survey of Wireless Indoor Positioning Techniques and Systems (2007, background): “presented a GSM-based indoor localization system in [31].”