Indoor Positioning System Based On Received Signal Strength Indicator

With the rapid development of the Internet of Things and Artificial Intelligence technology,the application requirements of location-based services are becoming more and more extensive.At present,in the outside scene,the positioning systems based on global positioning system and wireless cellular communication technology has been widely used in many fields such as life travel and economic construction.Similarly,due to the huge demand for intelligent automation and personalized applications,the research on indoor positioning technology has also entered a period of rapid development.Due to the complexity of indoor environment,the global positioning system and wireless cellular communication systems can't meet indoor positioning requirements.In response to these problems,academia and industry have proposed various positioning solutions for indoor environments.By comparing the advantages and disadvantages of various positioning schemes and considering various influencing factors,this paper chooses Zigbee wireless sensor network with Received Signal Strength Indicator to achieve indoor positioning.The system has low power consumption and is easy to expand into Large-scale positioning network.At the same time,in order to achieve higher positioning accuracy,this paper studies and compares various algorithms,optimizes from two aspects of ranging model and positioning algorithm,and achieves high-precision indoor positioning.The research focuses mainly include the following parts:(1)Based on the analysis and comparison of current indoor positioning technology,this paper selects RSSI as the implementation technology of indoor positioning system,and introduces the development history and research status of indoor positioning technology.(2)The principle of various indoor positioning technologies and the principle of positioning algorithm are described in detail,and their advantages and disadvantages are compared.The RSSI ranging model and the trilateral positioning algorithm are improved.(3)The RSSI transmitter,RSSI receiver,position display and other modules of the positioning system are designed and implemented,so that the system can display the plane map of the current positioned environment,the position coordinates of the mobile node and the movement track.(4)Firstly,the general weighted trilateral positioning algorithm and the algorithm are simulated and then applied to the positioning system.In the same experimental environment,the positioning results of the two are recorded separately,and the positioning accuracy,responding speed and stability of the two are recorded for analysis and comparison.(5)Through the test data analysis of the improved algorithm,reasonable improvement measures are proposed.