Possibilities of Using Kalman Filters in Indoor Localization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017047" target="_blank" >RIV/62690094:18450/20:50017047 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2227-7390/8/9/1564" target="_blank" >https://www.mdpi.com/2227-7390/8/9/1564</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math8091564" target="_blank" >10.3390/math8091564</a>
Alternative languages
Result language
angličtina
Original language name
Possibilities of Using Kalman Filters in Indoor Localization
Original language description
Kalman filters are a set of algorithms based on the idea of a filter described by Rudolf Emil Kalman in 1960. Kalman filters are used in various application domains, including localization, object tracking, and navigation. The text provides an overview and discussion of the possibilities of using Kalman filters in indoor localization. The problems of static localization and localization of dynamically moving objects are investigated, and corresponding stochastic models are created. Three algorithms for static localization and one algorithm for dynamic localization are described and demonstrated. All algorithms are implemented in the MATLAB software, and then their performance is tested on Bluetooth Low Energy data from a real indoor environment. The results show that by using Kalman filters, the mean localization error of two meters can be achieved, which is one meter less than in the case of using the standard fingerprinting technique. In general, the presented principles of Kalman filters are applicable in connection with various technologies and data of various nature.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematics
ISSN
2227-7390
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
9
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
"Article Number: 1564"
UT code for WoS article
000580907500001
EID of the result in the Scopus database
2-s2.0-85091500507