Improvement of Indoor Positioning Accuracy of Ultra-Wide Band Sensors by Using Big Bang-Big Crunch Optimization Method

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Date

2018

Authors

Arsan, Taner

Journal Title

Journal ISSN

Volume Title

Publisher

Pamukkale Univ

Open Access Color

GOLD

Green Open Access

Yes

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No
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Average
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Average
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Average

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Abstract

Ultra-wide Band technology is an emerging technology that offers successful solutions in many indoor positioning systems and performs better than other methods. In this study an indoor positioning system using Ultra-wide Band (UWB) sensors was developed and it was aimed to increase the accuracy level of the standard equipment with the additional algorithms used while reducing the average error. For this purpose the Big Bang-Big Crunch (BB-BC) optimization method has been applied to the experimental indoor positioning system and the positive effect on the measurement accuracy has been proved by the tests made. An area of 39.76 m(2) was selected as a test area of 7.35 m x 5.41 m and three different Ultra-wide Band receivers were installed at a height of 2.85 m on a specially designed ceiling system and a total of 10.920 measurements were taken from 182 test points for 60 seconds. By correcting the measurement results with the Big Bang Big Crunch optimization algorithm the average error was reduced from the previous 20.72 cm to 15.02 cm thus the accuracy of the measurement results were improved.

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Keywords

Indoor positioning, Time of flight, Ultra-wide band sensors, Big bang-big crunch optimization method, Behavior mapping, İç mekân konum belirleme, Indoor positioning, Mühendislik, İç mekân konum belirleme;Uçuş zamanı;Ultra geniş band sensörler;Büyük patlama büyük çöküş optimizasyon yöntemi;Davranış haritalama, Time of flight, Ultra-wide band sensors, Engineering, Ultra geniş band sensörler, Uçuş zamanı, Davranış haritalama, Büyük patlama büyük çöküş optimizasyon yöntemi, Indoor positioning;Time of flight;Ultra-wide band sensors;Big bang-big crunch optimization method;Behavior mapping, Big bang-big crunch optimization method, Behavior mapping

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WoS Q

Q3

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N/A

Source

Pamukkale University Journal of Engineering Sciences

Volume

24

Issue

5

Start Page

921

End Page

928
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1

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5

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270

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