Research On Indoor Visible Light Positioning Based On Received Signal Strength

Visible indoor positioning technology is a technology that uses visible light signals for positioning measurement based on visible light communication.It has lots of advantages,such as high positioning accuracy,good safety,and low cost.And it can be applied to places sensitive to electromagnetic signals.This paper focuses on the indoor visible light positioning algorithms based on the received signal strength,and designs an indoor visible light indoor positioning experiment system.Besides,two high-precision 3D indoor positioning algorithms are designed and tested.And with mobile robot as carrier,a positioning algorithm based on the fusion of visible light communication and inertial navigation is designed,and it is verified by experiment.The main research work of this article is as follows:1.Analyze the characteristics of indoor visible light communication channels,and design an indoor visible light positioning experiment system based on the received signal strength.The system uses STC89C52 microcontroller as the main control chip to design the transmitter driving circuit based on the key switch mode,and the receiver is composed of STM32F103 development board,photodiode and I/V amplifier.A visible light signal modulation and demodulation scheme is designed based on time division multiplexing technology,and the design and implementation of the modulation program and demodulation program is completed.2.An indoor visible light 3D positioning algorithm based on an improved fruit fly optimization algorithm is designed.The positioning algorithm transforms the three-dimensional positioning problem into a multi-objective global optimization problem about searching the three-dimensional coordinates of the receiver.By searching the entire positioning space with the improved fruit fly optimization algorithm,the position where the theoretical value of the visible channel gain is closest to the actual value is taken as the final estimated result.Simulation and experiment prove that the positioning algorithm can effectively realize the highprecision estimation of the three-dimensional coordinates of the receiver.3.To solve the positioning problem of receiver moving continuously in 3D space,an indoor visible light dynamic positioning algorithm based on plant cell swarm algorithm and particle filter is designed.The algorithm considers the motion information of receiver by particle filter to improve the positioning accuracy,and it uses the plant cell swarm algorithm to solve the particle diversity loss problem caused by the resampling in standard particle filter algorithm.Simulation and experiment prove that the algorithm can effectively improve the positioning accuracy and shorten the positioning time.4.With the mobile robot as the positioning target,a mobile robot positioning algorithm based on the fusion of visible light communication and inertial navigation is designed.The positioning algorithm uses particle filter to simultaneously process visible light strength data and inertial navigation data to achieve the optimal estimation of the position of the mobile robot.And the algorithm can adaptively adjust the particle weight when the visible light signals are blocked.Experimental results show that the positioning algorithm can maintain high-precision positioning when occlusion occurs.