Research On Indoor Positioning System Based On Visible Light Communication

In recent years,with the development of visible light positioning technology,the research has gradually shifted from theory to practical application.In different indoor environments,it is very important to ensure that the positioning accuracy can meet the requirements of indoor positioning.The research will concentrate on overcoming interference from the environmental light and implementation of positioning when direct light transmission is blocked.Ambient light,mainly from sunlight,screens of electronic devices,and other lighting equipment,will greatly reduce indoor positioning accuracy.Therefore,sub-carrier modulation technology is proposed to reduce the influence of ambient light on positioning accuracy,and a theoretical model based on sub-carrier modulation is established.The visible light positioning system based on sub-carrier modulation was designed,and the bare bones particle swarm optimization algorithm was used to complete the three-dimensional indoor positioning experiment under different ambient light intensity.The experimental results show that the proposed method can effectively reduce the interference of ambient light while ensuring the positioning accuracy.In addition to the interference of ambient light,direct signal sometimes may be blocked during the process of visible light indoor positioning.To solve this problem,a positioning method using reflected light from floor as signal is proposed.A method called backward propagation neural network based on the virtual fingerprint training is used to improve the location accuracy.Experimental results show that the method can effectively improve the location accuracy.