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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • 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

  • 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