Delineating Regional BES–ELM Neural Networks for Studying Indoor Visible Light Positioning
Delineating Regional BES–ELM Neural Networks for Studying Indoor Visible Light Positioning
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Basel: MDPI AG
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English
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Basel: MDPI AG
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This paper introduces a single LED and four photodetectors (PDs) as a visible light system structure and collects the received signal strength values and corresponding physical coordinates at the PD receiving end, establishing a comprehensive dataset. The K-means clustering algorithm is employed to separate the room into center and boundary areas t...
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Full title
Delineating Regional BES–ELM Neural Networks for Studying Indoor Visible Light Positioning
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TN_cdi_doaj_primary_oai_doaj_org_article_5552d618d2a94d07abfe5c7da14eff71
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5552d618d2a94d07abfe5c7da14eff71
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ISSN
2304-6732
E-ISSN
2304-6732
DOI
10.3390/photonics11100910
