Algorithm for dynamic fingerprinting radio map creation using imu measurements

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50017965" target="_blank" >RIV/62690094:18450/21:50017965 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/21/7/2283" target="_blank" >https://www.mdpi.com/1424-8220/21/7/2283</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s21072283" target="_blank" >10.3390/s21072283</a>

Result language

angličtina

Original language name

Algorithm for dynamic fingerprinting radio map creation using imu measurements

Original language description

While a vast number of location‐based services appeared lately, indoor positioning solutions are developed to provide reliable position information in environments where traditionally used satellite‐based positioning systems cannot provide access to accurate position estimates. Indoor positioning systems can be based on many technologies; however, radio networks and more precisely Wi‐Fi networks seem to attract the attention of a majority of the research teams. The most widely used localization approach used in Wi‐Fi‐based systems is based on fingerprinting frame-work. Fingerprinting algorithms, however, require a radio map for position estimation. This paper will describe a solution for dynamic radio map creation, which is aimed to reduce the time required to build a radio map. The proposed solution is using measurements from IMUs (Inertial Measurement Units), which are processed with a particle filter dead reckoning algorithm. Reference points (RPs) generated by the implemented dead reckoning algorithm are then processed by the proposed reference point merging algorithm, in order to optimize the radio map size and merge similar RPs. The proposed solution was tested in a real‐world environment and evaluated by the implementation of deterministic fingerprinting positioning algorithms, and the achieved results were compared with results achieved with a static radio map. The achieved results presented in the paper show that positioning algorithms achieved similar accuracy even with a dynamic map with a low density of reference points. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10406 - Analytical chemistry

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

—

Volume of the periodical

21

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

"Article number 2283"

UT code for WoS article

000638841700001

EID of the result in the Scopus database

2-s2.0-85102860158