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Accuracy Enhancement of Indoor Visible Light Positioning using Point-Wise Reinforcement Learning
South China Normal Univ, South China Acad Adv Optoelect, Guangzhou 510006, Guangdong, Peoples R China..
South China Normal Univ, South China Acad Adv Optoelect, Guangzhou 510006, Guangdong, Peoples R China..
South China Normal Univ, South China Acad Adv Optoelect, Guangzhou 510006, Guangdong, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0002-6989-9048
2019 (English)In: 2019 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

A point-wise reinforcement learning (PWRL) algorithm is proposed for a multi-detector based visible light positioning system. Experimental results demonstrate that the average positioning error is reduced up to 70% by employing the proposed PWRL.

Place, publisher, year, edition, pages
IEEE , 2019.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-270670ISI: 000469837300597Scopus ID: 2-s2.0-85065505984OAI: oai:DiVA.org:kth-270670DiVA, id: diva2:1414582
Conference
2019 Optical Fiber Communications Conference and Exhibition, OFC 2019; San Diego; United States; 3 March 2019 through 7 March 2019
Note

QC 20200313

Available from: 2020-03-13 Created: 2020-03-13 Last updated: 2020-03-13Bibliographically approved

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Chen, Jiajia

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