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http://hdl.handle.net/10553/118969
Title: | Comparison of clustering algorithms for data detection in Multispectral Camera Communication | Authors: | Moreno, Daniel Majlesein, Behnaz Guerra Yanez, Victor Rufo Torres, Julio Francisco Rabadán Borges, José Alberto Pérez Jiménez, Rafael |
UNESCO Clasification: | 3325 Tecnología de las telecomunicaciones | Keywords: | Clustering Multispectral Optical camera communication Temperature effect |
Issue Date: | 2022 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Conference: | 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications (WASOWC 2022) | Abstract: | In this work, the performance of an optical camera communication (OCC) system is compared using several clus-tering algorithms in a cluster-based data detection approach. Furthermore, a multispectral camera is utilized to capture the thermally induced spectral variations in light-emitting diodes (LEDs). Thus, more than one channel can be attained from the same device. The results of this paper prove that using a clustering method can enhance the bit error rate (BER). Finally, different training sets were used to fit the clustering models underlining the impact on the system performance. | URI: | http://hdl.handle.net/10553/118969 | ISBN: | 978-1-6654-0913-1 | DOI: | 10.1109/WASOWC54657.2022.9798432 | Source: | 4th West Asian Symposium on Optical and Millimeter-wave Wireless Communications (WASOWC 2022), p. 1-5 |
Appears in Collections: | Actas de congresos |
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