Research On Indoor Fusion Positioning Technology Based On WiFi Fingerprint And Inertial Sensing

With the development of a variety of mobile devices such as smart phones,tablet PCs,and wearable devices,as well as the rapid growth of Internet equipment performance and location-based applications of the surge,more and more services require location awareness.Especially in the mobile device as the carrier of the indoor location awareness service needs are constantly increasing,Its business applications,public management,fire rescue and other aspects played an irreplaceable role,become a hot spot in recent years.But the current indoor positioning technology there are still lack of positioning accuracy,stability is not high and many other issues,it is difficult to really enter the application phase,so need further study.This paper focuses on several key problems in the field of indoor positioning,positioning accuracy?system stability and reliability,and in order to improve the positioning accuracy of indoor positioning system and ensure the stability of positioning,take fusion position as idea,This paper studies the positioning technology based on WLAN position fingerprint and inertial sensor.The main contributions of this paper are as follows:1?Presents a fusion positioning model based on WiFi fingerprint and inertial sensing.This paper be aimed at,WiFi localization accuracy is not high,large fluctuation,easy to affect by environment,as well as traditional sensor Inertial positioning has cumulative error much characteristics.This paper presented a model that Fusion of the two positioning modes.The two methods can be integrated in the data layer,To achieve the advantages of complementary advantages.the WiFi fingerprint positioning volatility,environmental impact has be Solved,and the factors of inertial positioning error accumulation are also avoided.2?Improved displacement estimation algorithm.In this paper,the traditional step size estimation algorithm is optimized.The application environment of the traditional step size estimation algorithm is carried out on the ideal horizontal ground,can not be applied to a larger slope slope,or a special environment like stairs.So if three-dimensional positioning,there will be a large error.Based on the principle of barometric altimeter,A step size estimation algorithm based on barometric pressure calibration is proposed.This paper designs and implements a real-time positioning system that divided into positioning server and Android-based application platform app two parts.The system realizes fixed scene real-time positioning by entering scene information in advance.Through experimental comparison found that the positioning method of this paper is more accurate than the traditional indoor positioning method and positioning stability better.