Design And Implementation Of Indoor Positioning System Based On Inertial Navigation And Multiple RSSI Features

With the advent of the mobile Internet era and more new mobile devices, such as mobile phone, tablet computer, electronic watches and the emergence of a large number of wearable devices, as well as the rapid growth of their hardware performance, the application of positioning technology continues to surge, location services is becoming more and more important in people's lives. Indoor positioning technology is developing rapidly, it is changing the way to use the mobile devices.Now, almost everyone has a smart mobile phone, most have a built-in accelerometer, geomagnetic sensor, pressure sensor, WiFi access point exists everywhere, this is putting forward a arrangement of indoor positioning which does not require additional hardware, has low threshold. Therefore, this paper puts forward the WiFi location fingerprint, and the location of the geomagnetic field as a fingerprint and inertial navigation information as an auxiliary positioning, with Android as the client, Tomcat for the server of the indoor positioning solutions.This solution not only contains the indoor positioning algorithm of fingerprint positioning, also including good client interface and convenient fingerprint acquisition, scene map database expansion,efficient storage, client and server communication such as a full range of content, and strive to create a set of applicability, strong usability with excellent performance, indoor positioning system.This paper introduces the definition of WiFi location fingerprint and geomagnetic location fingerprint, nearest neighbor matching algorithm and its optimization as well as the location of the fingerprint filtering technology, and use three aspects of the overall architecture, server and client to explain the main method to build the indoor positioning system.Finally, this paper does the test of the actual performance test and error analysis based on the system design and implementation of the system,the optimal value of WKNN algorithm in K, verify the location fingerprint filtering technology to improve the positioning effect, and optimize using the floor the air pressure sensor, also the geomagnetithe Calman filter for the static state of the terminal, it can switch automatically c fingerprint positioning technology in fusion, and verify its performance, which proves the feasibility and advantages of this system.