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Indoor Localization Based on RadioChannel Parameters in Wireless SensorNetworks
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Wireless Sensor Networks are nowadays becoming increasingly popular. Due to their low cost, ease of deployment and application, they oer robust solutions in a variety of elds. In this context, localization is one of the most important functionalities that can be implemented. The analysis of existing antennas that could suit a light, small, and energy-ecient sensor and the analysis and design of localization algorithms have been studied in this work. Indoor localization in a smart home poses certain challenges in comparison with the existing and successfully implemented large scale outdoor localization systems, due to the shadow fading eects and the notable dierences among the indoor environments. This work has focused on localization based on channel parameters estimation and received signal strength. This oers versatility, since no previous knowledge of the indoor environment is required, and cheap deployment. A review of existing methods in this area is oered and two classical and robust approaches, least squares estimation and log-likelihood maximization are combined to obtain new algorithms that can statistically improve the performance in terms of bias and variance of the error. The results of this work can be applied to the development of cheap and robustly optimized algorithms. Furthermore, the analysis of the antennas for this context sets the needs that new lines of future investigation and development of sensor devices can address.

Place, publisher, year, edition, pages
2012. , 70 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-107744OAI: diva2:577827
Educational program
Master of Science in Engineering - Electrical Engineering
Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2012-12-17Bibliographically approved

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XR-EE-RT_2012-033_José Antonio Gutiérrez García(1049 kB)543 downloads
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