Clustering-based data detection for spectral signature multiplexing in multispectral camera communication

被引：2

作者：

Moreno, Daniel ^{[1
]}

Guerra, Victor ^{[2
]}

Rufo, Julio ^{[3
]}

Rabadan, Jose ^{[1
]}

Perez-Jimenez, Rafael ^{[1
]}

机构：

[1] Univ Palmas de Gran Canaria ULPGC, Inst Technol Dev & Innovat Commun IDeTIC, Las Palmas Gran Canaria 35017, Las Palmas, Spain

[2] Pi Lighting Sarl, CH-1950 Sion, Valais, Switzerland

[3] Univ La Laguna ULL, Ramon Y Cajal Researcher, San Cristobal De La Lagu 38208, Santa Cruz De T, Spain

来源：

OPTICS LETTERS | 2022年 / 47卷 / 05期

关键词：

COMPENSATION;

D O I：

10.1364/OL.449207

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Optical camera communication (OCC) is a promising technology to be used in future wireless communication systems. In this work, a cluster-based data detection procedure is applied to enhance the performance of an OCC system. A multispectral camera is employed to capture the spectral variations in light-emitting diodes (LEDs) caused by temperature. This strategy's system performance is compared with a system that uses traditional linear methods, such as zero-forcing (ZF) and minimum mean square error (MMSE) equalizers. The findings of this study indicate that an improvement in the bit error rate (BER) can he achieved by applying a clustering approach. (C) 2022 Optica Publishing Group

引用

页码：1053 / 1056

页数：4

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