基于记忆模块的人工神经网络在室内三维VLP系统中的环境干扰抑制与防led遮挡

2021 European Conference on Optical Communication (ECOC) Pub Date : 2021-09-13 DOI:10.1109/ecoc52684.2021.9606173

Zicai Cao, M. Cheng, Qi Yang, Deming Liu, L. Deng

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引用次数: 0

摘要

在基于人工神经网络的三维室内可见光定位系统中，提出了一种新的误差校正算法——记忆-人工神经网络，以缓解环境干扰和防止led遮挡。在环境干扰和led遮挡下的平均定位误差分别为1.04cm和2.89cm。

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Environmental Interference Mitigation and Anti-LED Blocked using ANN with Memory Module in 3D Indoor VLP Systems

A novel deviation-correction algorithm named memory-artificial neural network is proposed in the ANN-based 3D indoor visible light positioning system for environmental interference mitigation and anti-LED blocked. The average positioning error of 1.04cm and 2.89cm is experimentally achieved under environmental interference and LED-blocked, respectively.

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2021 European Conference on Optical Communication (ECOC)

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