<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis.</p></abstract>

The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis.

Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors

Department of Control and Instrumentation, Faculty of Electrical Engineering and Communication Brno University of Technology, Technická 3082/12, 616 00 Brno, Czech Republic

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors"}

The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied...

Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors

Online veröffentlicht: 21. Aug. 2014

Seitenbereich: 193 - 202

Eingereicht: 17. Dez. 2013

DOI: https://doi.org/10.2478/jee-2014-0031

Schlüsselwörter
personal localization, indoor and urban navigation, wireless networks, inertial sensors, particle filter

© 2014 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors

Online veröffentlicht: 21. Aug. 2014

Seitenbereich: 193 - 202

Eingereicht: 17. Dez. 2013

DOI: https://doi.org/10.2478/jee-2014-0031

Schlüsselwörterpersonal localization, indoor and urban navigation, wireless networks, inertial sensors, particle filter

© 2014 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
personal localization, indoor and urban navigation, wireless networks, inertial sensors, particle filter