Research On Indoor Positioning Technology Based On Rssi Wireless Local Area Network

The application and popularization of Internet of Things technology,rapid development of wireless communication technology and wireless sensor network,promote the indoor location-based services.The WiFi indoor location-based technology is rapidly with the indoor coverage of WiFi.It is difficult to solve the indoor loacion-beased using one method because of the multiple environment and lack of a united infrastructure.In this paper,how to improve the positioning accuracy and enrich the algorithm in the WiFi indoor position is studied,the optimization scheme and algorithm are studied respectively.The main content is as follow:First,the influencing factors such as the antenna direction,sample size and obstacle material are studied and analyzied through building the experimental platform during RSSI samples.Different antenna directions and obstacle materials affect the wireless signal attenuation.The RSSI data is processed reapctively by the Median filtering,Gaussian filtering,Kalman filtering.Simulation experiments are carried out by MATLAB.The simulation results carried by MATLAB show that the above mathods can reduce the noise.Second,a lot of access logs are generated between two adjacent acess poins(APs)because of the high using frequency in indoor environments.The complexity of the indoor position will be immensely simplify if APs are directly utilized for the received signal strength indication(RSSI)in the APs.In this paper a multi-distance fusion indoor positioning algorithm is proposed in theenvironment between two adjacent APs.This algorithm achieves a stable position result compared with experimental simulation and path loss model positioning method.When the number of training samples is more than 300.Advantages of the multi-distance fusion indoor positioning algorithm are easy-to-use,low cost and complexity,and so on.