Proceedings ArticleDOI
Modeling of indoor positioning systems based on location fingerprinting
Kamol Kaemarungsi,Prashant Krishnamurthy +1 more
- Vol. 2, pp 1012-1022
TLDR
This paper develops the framework for analyzing a simple positioning system that employs the Euclidean distance between a sample signal vector and the location fingerprints of an area stored in a database and analyzes the effect of the number of access points that are visible and radio propagation parameters on the performance of the positioning system.Abstract:
In previous years, positioning systems for indoor areas using the existing wireless local area network infrastructure have been suggested. Such systems make use of location fingerprinting rather than time or direction of arrival techniques for determining the location of mobile stations. While experimental results related to such positioning systems have been presented, there is a lack of analytical models that can be used as a framework for designing and deploying the positioning systems. In this paper, we present an analytical model for analyzing such positioning systems. We develop the framework for analyzing a simple positioning system that employs the Euclidean distance between a sample signal vector and the location fingerprints of an area stored in a database. We analyze the effect of the number of access points that are visible and radio propagation parameters on the performance of the positioning system and provide some preliminary guidelines on its design.read more
Citations
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Proceedings ArticleDOI
Properties of indoor received signal strength for WLAN location fingerprinting
TL;DR: The properties of the received signal strength reported by IEEE 802.11b wireless network interface cards are investigated to understand the underlying features of location fingerprints and the performance of an indoor positioning system in terms of its precision is compared.
Journal ArticleDOI
Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing
TL;DR: Experimental results indicate that the proposed RSS-based indoor positioning system leads to substantial improvement on localization accuracy and complexity over the widely used traditional fingerprinting methods.
Proceedings ArticleDOI
Indoor location sensing using geo-magnetism
TL;DR: An indoor positioning system that measures location using disturbances of the Earth's magnetic field caused by structural steel elements in a building that demonstrates accuracy within 1 meter 88% of the time in experiments in two buildings and across multiple floors within the buildings.
Journal ArticleDOI
Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning
TL;DR: Props and cons of the three positioning technologies are presented in terms of coverage, accuracy and reliability, followed by a discussion of the implications for LBS using the 3G iPhone and similar mobile devices.
Journal ArticleDOI
Kernel-Based Positioning in Wireless Local Area Networks
TL;DR: It is shown that, due to the variability of RSS features over space, a spatially localized positioning method leads to improved positioning results and a kernelized distance calculation algorithm for comparing RSS observations to RSS training records is presented.
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