Realization Of Non-imaging And Imaging VLC Systems Based On Space Shift Keying

Visible light communication(VLC)technology based on white LED has been widely concerned as a new communication technology which is green,environmentally friendly,safe and can effectively solve the crisis of radio frequency spectrum resources.In the field of VLC technology,although the non-imaging VLC system receiving information through photoelectric detection devices(PD)has a relatively mature technical mode,there are still many problems to be solved in terms of the improvement of VLC modulation technology and transmission rate.At the same time,the combination of VLC and imaging equipment is more in line with the current trend of mobility and intelligence in the field of communication,and the combination of machine learning and imaging VLC system will promote the practical process of technology and can greatly develop its application space.In order to solve the LED limited Modulation bandwidth limitations VLC transmission rate of the problem,this paper around the high spectrum efficiency,low implementation complexity of Spatial Modulation(Spatial Modulation,SM)and generalized Spatial Modulation(Genralized Spatial Modulation,GSM)technology in the indoor VLC system design and implementation are studied,and the research target,respectively for the VLC system and imaging VLC system.Firstly,in order to improve the transmission rate of non-imaging VLC system,two technical schemes,SPWM and SPPM,are proposed based on the concept of space modulation(SM).Based on the concept of generalized space modulation(GSM),two schemes,namety,GSPWM and GSPWM,are proposed.The communication protocol of each scheme is designed,and the software and hardware experimental platform for the scheme verification is developed.Through the system test,the feasibility and validity of each scheme are verified.The experiment proves that SM and GSM can effectively improve the transmission rate and system spectral efficiency.Secondly,to solve the problem of short communication distance of non-imaging VLC system,an imaging VLC system based on camera is proposed by combining imaging equipment with VLC system.The communication model,communication protocol and software control flow of the scheme are designed,and an effective image processing algorithm is adopted to improve the reliability of the system.On this basis,the system experiment platform is built,and the feasibility and stability of the system operation are verified through the communication performance test,and the system is optimized.Experiments show that the imaging VLC system can greatly improve the communication distance compared with the non-imaging VLC system.At last,aiming at the problem of frequent human-computer interaction in the imaging VLC system,machine learning related algorithm is introduced to propose the imaging VLC system scheme based on convolutional neural network(CNN)and the imaging VLC system scheme based on Haar classifler.The feasibility and effectiveness of the system are verified by building an experimental model.Experiments show that the introduction of machine learning into VLC system can improve the intelligence of the system and provide a new research direction for the promotion and application of visible light communication technology.