Research And System Implementation Of The Pedestrian Indoor Positioning Methods Based On Wifi And Inertial Technology

In recent years,with the rapid development and popularization of mobile Internet technology and location-based services,the demand for indoor location service is also more urgent than before.Because of its limitations,the traditional single positioning technology ever has been unable to meet positioning needs in the complex indoorenvironment.This paper focuses on the WIFI and inertial measurement key technologies for indoor location services,mainly learning WIFI positioning technology based on a simulated position fingerprint database,inertial positioning technology(PDR)based on heading estimation and the two technologies fusion model for indoor positioning application,the main work and contributions are summarized as follows:In WiFi positioning,As a result of collection of fingerprint data needs to spend a lot of manpower costs,This paper summarizes several WiFi indoor propagation models,combined with the New Empirical model and diffraction model,This paper proposed a method of constructing the simulated position fingerprint database based on WiFi indoor propagation models,This paper designed the related experiments about the correlation between the RSSI value of the collection fingerprint database and the RSSI value of the simulated location fingerprint database,which verified the accuracy of simulated location fingerprint database.In terms of PDR positioning,based on the analysis of inertial measurement signal,This paper design a feasible peak detection algorithm based on dynamic threshold,realize a more accurate walking steps in statistics;In order to give full play to WiFi location fingerprint and PDR positioning their respective advantages an fusion algorithmbased was designed,WiFi positioning was used to reduce the accumulation error of the PDR positioning,and PDR positioning was used to reduce the fluctuation of the WiFi positioning.Finally,An fusion for indoor positioning system was designed and completed based on the WiFi and inertial measurement on the Android platform,which was tested and analysized about performance by experiments in real indoor environment.This paper designed the related experiments,which verified and evaluated the feasibility and effectiveness of the system from the positioning accuracy and the time complexity about simulated position fingerprint database,and comparison of three positioning trajectories.The results showed thatthe method of construction of fingerprint data can effectively solve the problem of manpower costs of collection of fingerprint data,Meanwhile,fusion positioning method compared with single WiFi positioning and PDR positioning has obvious advantages.