Publication detail

Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors

KAŇA, Z. BRADÁČ, Z. FIEDLER, P.

Original Title

Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

Personal Localization, Indoor and Urban Navigation, Wireless Networks, Inertial Sensors, Particle Filter

Authors

KAŇA, Z.; BRADÁČ, Z.; FIEDLER, P.

RIV year

2014

Released

30. 6. 2014

Publisher

FEI STU Bratislava

ISBN

1335-3632

Periodical

Journal of Electrical Engineering

Year of study

65

Number

4

State

Slovak Republic

Pages from

1

Pages to

10

Pages count

10

URL

https://www.sciendo.com/article/10.2478/jee-2014-0031

Full text in the Digital Library

http://hdl.handle.net/11012/201761

BibTex

@article{BUT108205,
  author="Zdeněk {Kaňa} and Zdeněk {Bradáč} and Petr {Fiedler}",
  title="Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors",
  journal="Journal of Electrical Engineering
",
  year="2014",
  volume="65",
  number="4",
  pages="1--10",
  doi="10.2478/jee-2014-0031",
  issn="1335-3632",
  url="https://www.sciendo.com/article/10.2478/jee-2014-0031"
}