Design And Implementation Of Indoor Positioning System Based On WiFi

With the rapid development of international Internet technology and the application of high-performance mobile phones and the increasing coverage of WiFi,the demand for WiFi indoor positioning is increasing.Based on the location fingerprint algorithm,this paper designs and implements a C/S-structure WiFi-based indoor positioning system,which has the advantages of high precision,low cost and wide application range.It can be applied to indoor environments such as nursing homes,tourist attractions,exhibition halls,libraries,parking areas,etc.The WKNN algorithm is used as the algorithm of WiFi indoor positioning system in this paper.The analysis and research on signal intensity denoising and the influence of different mobile device differences on positioning accuracy and how to reduce the error of positioning algorithm are carried out.The main work content in this paper :(1)The Kalman filtering method for eliminating singular values is used to denoise the collected RSSI signal to ensure the accuracy of the collected RSSI signal,thereby ensuring the positioning accuracy of the positioning system.(2)Applying the RSSI difference-based positioning algorithm to eliminate the RSSI difference received by different mobile phones.The experimental results show that the algorithm can effectively reduce the influence of device differences on the positioning system error.(3)The datas are collected by mobile phones in the real WiFi experimental environment.The influence of positioning accuracy is analyzed by AP number,AP layout and parameters of the related algorithms.The optimal design of WiFi indoor positioning system is obtained which has the good promotion and application value.