Pedestrian Dead Reckoning In Indoor Positioning System

With the development of positioning and navigation technology and the rapid rise of LBS (location-based services) and O2O (Online To Offline). Demand for indoor positioning is increasingly urgent, as well as the positioning accuracy and continuity. However, in an urban environment, because people usually use location services in indoor, satellite positioning system blocked due to signal interference and have poor positioning accuracy, sometimes even cannot locate. Therefore, to the use of location-based services in the room, need to use indoor positioning technology. There 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, the indoor positioning technology in pedestrian dead reckoning technology was studied. Proposed non strap down pedestrian dead reckoning technology and location-based results pedestrian dead reckoning correct technique. Merge the results of pedestrian dead reckoning and indoor positioning to improve the integration of indoor positioning accuracy and continuity.This dissertation plans to accomplish the work as follows:1. Study on pedestrian dead reckoning algorithm and proposed non strap down pedestrian dead reckoning algorithms. According to the traditional pedestrian dead reckoning algorithm that uses three-axis gravity accelerometer waveform characteristics to achieve a step stride and step frequency detect. Requirements for the current pedestrian dead reckoning module and pedestrian inertia relative position fixed, which is difficult to use in daily life, innovative proposed universal non strap down more pedestrian dead reckoning algorithms. 2. Error Correction based indoor positioning results of pedestrian track dead reckoning. Typically, to ensure the indoor positioning results with high accuracy and continuity, indoor positioning technology is assisted by pedestrian dead reckoning. However, same as inertial navigation, pedestrian dead reckoning would have errors. This paper presents the scheme of indoor location-based error correction. Within a period of time by comparing the results of indoor positioning and pedestrian dead reckoning result, to correct the errors of pedestrian dead reckoning algorithm.3.Merge the results of indoor positioning and pedestrian dead reckoning. Using the Kalman filter to Merge the results of indoor location results and draw direction from the pedestrian dead reckoning, step frequency, step stride information. Get continuous, smooth interior positioning results, and experimental verification.