A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA
A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Traditional received signal strength indicator (RSSI)-based and angle of arrival (AoA)-based positioning methods are highly susceptible to multipath effects, signal attenuation, and noise interference in complex indoor environments, which significantly degrade positioning accuracy. To mitigate the impact of the above deterioration, we propose a dee...
Alternative Titles
Full title
A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4c11240d36f048379a00a55fb6247da3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4c11240d36f048379a00a55fb6247da3
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25092834
