The Research On Inertial Sensor-Based Indoor Localization System

In recent years, the positioning and location-based services gradually penetrated into all aspects of life, Bring convenince to our life. But at the same time, people demand for indoor positioning is increasing urgent, as well as the positioning accuracy and continuity.However, in urban area, because people usually use location services indoor, satellite positioning system blocked due to signal interference and have poor positioning accuracy, sometimes even can not located.Therefore, the the use of location-based services in the room need to use indoor positioning technology. These are common indoor positioning technology:Wi-Fi positioning technology,Bluetooth positioning technology, RFID positioning technology, the base station location technology and pedestrian dead reckoning technology.In this paper, under the conditions of the massive popularity of smart phones, combined with a built-in sensor in smartphones, The following work has been done on Indoor Localization Based on Inertial Sensor:1.Analysising the indoor localization system inertial sensor-based and map matching at present. Achieve indoor positioning service using the data returned by inertial sensors in smart phones and information contained in map. Using this algorithm implements an indoor positioning system based on android. The inertial navigation in this paper use dead reckoning method to achieve positioning, and the accuracy of dead reckoning method relies on the number of steps, step length and heading.2.Error Correction based indoor positioning results of pedestrian track dead reckoning.Using the data detected by inertial sensors to carry on step detection,step length estimation and heading estimation. Reduce the false step recognition in the process of step detection through the multi-constraint peaks and trough detection methods. Use the map-matching algorithm to eliminate the existing cumulative error due to the accuracy of sensors and human factors. Divide the map to different field according to the map layout feature, amending the data of direction sensor to correct the heading and calibrating position at a critical point to further improve the positioning accuracy.3. Designs and implements the indoor positioning system.Including the main interface module, the sensor data acquisition module, data preprocessing module, positioning module and display module. And test it’s performance. The system can effectively achieve high-precision indoor positioning, easy to use and widely spread, with great practical significance.