Indoor Visible Light Positioning Algorithm Optimization And System Implementation

With the rapid development of information technology,location service has become a part of people's life.Outdoor,GPS system has global,high precision and other advantages.But indoors,GPS system practicability is poor and the error is large.As a complement to GPS,indoor visible light positioning technology is proposed.Indoor visible light positioning has the advantages of environmental protection,low cost,large capacity,safety and so on.Because the influence of noise and reflected light,the accuracy of indoor visible light positioning isn't ideal.In order to improve the positioning accuracy of indoor visible light positioning system,the main research contents are as follows:The software is used to realize the indoor visible light positioning system.Software programming is used to model and simulate the light source and noise channel.The simulation system can display the positioning result and statistics the positioning error data.Cross-correlation detection method and adaptive filtering are used to filter out the noise in visible light positioning system and improve the positioning accuracy.Because the visible light positioning system based on RSS is easily affected by noise,this paper proposes an optimization of RSS algorithm.The cross-correlation detection method and adaptive filtering are used to filter the noise.The visible light positioning algorithm based on the received signal strength is used to calculate the position of the measured target.Simulation results show that the influence of noise on positioning accuracy is reduced by the optimized algorithm.The average positioning error of the system has been reduced to 1cm.Two fusion algorithms are proposed to reduce the influence of non-line-of-sight on the positioning accuracy of visible light positioning system.Compared with the traditional algorithm,centroid weighting and RSS fusion algorithm can improve the positioning accuracy of the system by 16%.Compared with the traditional algorithm,distance weighting and RSS fusion algorithm can improve the positioning accuracy of the system by 34%.A visible light positioning system is designed and implemented.The positioning performance of the system has been tested in an environment of 0.5m×0.4m×1m.The test results show that the average positioning error of 63 detection points is0.031 m.