Fingerprint localization using data from different radio environments
This study evaluated an indoor location estimation method using a wireless local area network (LAN). The Fingerprint method was used as a location estimation technique. This method can estimate the current location based on the received signal strength indicator and media access control address obta...
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Veröffentlicht in: | IEICE COMMUNICATIONS EXPRESS 2023/10/01, Vol.12(10), pp.564-567 |
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creator | Ozaki, Ryoga Aikawa, Satoru Yamamoto, Shinichiro |
description | This study evaluated an indoor location estimation method using a wireless local area network (LAN). The Fingerprint method was used as a location estimation technique. This method can estimate the current location based on the received signal strength indicator and media access control address obtained from the wireless LAN access points. However, this method is greatly affected by changes in the radio propagation environment, and the presence or absence of obstacles reduces the location estimation accuracy. This paper proposes a database developed by measuring data of different radio propagation environments. The environment was experimentally confirmed to change with the opening and closing of doors and the direction of radio wave measurement. |
doi_str_mv | 10.23919/comex.2023XBT0005 |
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The Fingerprint method was used as a location estimation technique. This method can estimate the current location based on the received signal strength indicator and media access control address obtained from the wireless LAN access points. However, this method is greatly affected by changes in the radio propagation environment, and the presence or absence of obstacles reduces the location estimation accuracy. This paper proposes a database developed by measuring data of different radio propagation environments. The environment was experimentally confirmed to change with the opening and closing of doors and the direction of radio wave measurement.</abstract><pub>The Institute of Electronics, Information and Communication Engineers</pub><doi>10.23919/comex.2023XBT0005</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | convolutional neural network Fingerprint localization |
title | Fingerprint localization using data from different radio environments |
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