Research And Implementation Of A Indoor Positioning System Based On Mobile Devices

Location-based services have been deep into all aspects of life, providingconvenient and efficient service experience for the people’s daily lives. Currently,GPS positioning technology is relatively mature and widely used in the outdoorpositioning. For indoor positioning technology, although there are many populartechnologies, various technologies have many deficiencies. How to popularize indoorpositioning has become a hot topic without affecting the position accuracy currently.Under the background of the widespread popularity of intelligent terminals, thispaper proposes and completes a novel indoor positioning system using intelligentterminal built-in sensors and based on inertial sensors and wireless signal assistedpositioning. In order to ensure the positioning accuracy and adapt to the intelligenceterminal inertial weakness, sensors adopts dead reckoning to locate seamlessly.Environment has little impact on dead reckoning, of which the main factors forprecision are step number, step length and course heading which can be gained byinertial sensors collecting info. Because of the randomness and high difference, thispaper introduces wireless signal as auxiliary positioning to adjust step length and userconfiguration, thus eliminating the error of inertial sensor and providing a moreaccurate step length. Combined sensor information and WLAN location information,this paper proposes extended Kalman filter and Bayesian algorithm to improve thepositioning accuracy and realize dynamic tracking and navigation indoor.Finally, it designs and implements the system, and does different test to verifythe system which brings seamless and high accuracy indoor positioning effectively, asmall amount of calculation, easy popularization and large practical significance.