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机构地区:[1]School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China [2]Key Laboratory of Photo-electronic Imaging Technology and System (Beijing Institute of Technology), Ministry of Education of China, Beijing 100081, China
出 处:《Chinese Optics Letters》2017年第5期16-20,共5页中国光学快报(英文版)
基 金:supported by the National Natural Science Foundation of China(Nos.61475094 and61675025);the National 973 Program of China(No.2013CB329202)
摘 要:Visible light positioning becomes popular recently. However, its performance is degraded by the indoor diffuse optical channel. An artificial neural-network-based visible light positioning algorithm is proposed in this Letter, and a trained neural network is used to achieve positioning with a diffuse channel. Simulations are made to evaluate the proposed positioning algorithm. Results show that the average positioning error is reduced about 13 times, and the positioning time is reduced about two magnitudes. Moreover, the proposed algorithm is robust with a different field-of-view of the receiver and the refiectivity of the wall, which is suitable for various position- ing applications.Visible light positioning becomes popular recently. However, its performance is degraded by the indoor diffuse optical channel. An artificial neural-network-based visible light positioning algorithm is proposed in this Letter, and a trained neural network is used to achieve positioning with a diffuse channel. Simulations are made to evaluate the proposed positioning algorithm. Results show that the average positioning error is reduced about 13 times, and the positioning time is reduced about two magnitudes. Moreover, the proposed algorithm is robust with a different field-of-view of the receiver and the refiectivity of the wall, which is suitable for various position- ing applications.
关 键 词:view LEDS Artificial neural-network-based visible light positioning algorithm with a diffuse optical channel CDF RSS
分 类 号:TN929.1[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]
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