Research Of Indoor Floor Positioning Method Based On Smartphone'S Barometer

The rapid development of navigation and positioning technology has brought great convenience to people's lives.Outdoors,such as location-based service-related products and applications such as car navigation systems,Baidu maps,and dives,have become indispensable in people's lives.section.Indoors,there is also a strong demand for precise location services,the floor information has important application value.In view of the problem that the traditional floor positioning technology has a high dependence on the signal environment and low usability,this paper proposes an indoor floor positioning method based on the smart phone pressure sensor,which can effectively reduce the floor positioning method to the signal environment while satisfying the positioning accuracy requirements.This method achieves high-accuracy and highly available floor positioning.This article focuses on the following aspects of floor positioning:(1)The feasibility and feasibility of the smartphone air pressure sensor for elevation measurement were studied and analyzed.The first is to explore the relationship between air pressure and floors,study the performance of air pressure sensors in current mainstream smart phones,use the Laplace pressure relief equation as a prototype to establish an accuracy test of the indoor air pressure altimetry model,and then to observe the influence of smart phone air pressure sensors.Three common factors of accuracy of the accuracy of the air pressure altimetry model were theoretically deduced and experimentally verified.(2)Pentate the activity status of the pedestrians near the entrance of the building into three basic modes.Study the characteristics of the WiFi fingerprint positioning matching results under the three basic modes.Based on this,use the WiFi fingerprint positioning algorithm as the prototype."Enter" the detection algorithm to sense the behavior of pedestrians entering the building and obtain the initial location of the floor.(3)Researched the characteristics of pedestrians' pressure change in indoor static,flat ground walking,upstairs and downstairs movements,and proposed an algorithm based on air pressure to detect the behavior of people going up and downstairs to recognize the activities of pedestrians going up and down the stairs.The altimetry model estimates the movement distance of pedestrians in the vertical direction of the space and the amount of change of the floor during the activities of the upstairs and downstairs.(4)According to the new problems found in the research process,the differences in the heterogeneity of atmospheric pressure data lead to floor misjudgment,and a relative error calibration method based on the neighboring air pressure sensor is proposed to correct the heterologous data and effectively reduce the cellular heterogeneity in the air pressure.Estimate the error in elevation.At the same time,selfcalibration of the air pressure sensor can be achieved and manual intervention and maintenance can be avoided.Finally,the experimental results show that the floor positioning method proposed in this paper has high floor positioning accuracy,greatly reduces the dependence of the positioning method on the signal environment,has high availability,and can better meet the user's floor positioning in real life.demand.