The location information measurement of ordinary mobile phones and smartphones originally used GPS, but GPS and other artificial satellites have the problem of extremely difficult indoor measurement. Therefore, the development of the combination of Wi-Fi and MEMS sensors in artificial satellites is currently being promoted to obtain indoor location information. British CSR has developed an LSI "SiRFstarV" that integrates these measurement information to display the most accurate position information on the terminal, and is scheduled to start full sample delivery in March 2012. The principle of using Wi-Fi for positioning is that the electrical measurement information of the base station and the access point is sent from the terminal to the LBS (Location Based Service) side, whereby the base station and access point information stored in the LBS side and the server Perform a comparison to infer which base station and access point the terminal is located in, and finally return the location information to the terminal. MEMS sensors used in positioning include air pressure sensors, acceleration sensors, angular velocity sensors, and geomagnetic sensors. By using these sensors, even in places where radio waves cannot reach, it is possible to detect human movements and infer what kind of movements are taking place in which direction. LPC (Linear Predictive Coding: Linear Predictive Coding) determines the typical waveform when a person walks or runs, and then compares it with the information actually measured by the sensor. This method is similar to speech recognition technology. In addition, the artificial satellites used will not only use GPS satellites as before, but will also use a combination of satellites such as GLONASS in Russia, Galileo in Europe, Compass in China, and MSAS and QZSS in Japan. If you can measure indoor location information, you can use the navigator to reach the target store in a spacious shopping mall, or, with the consent of your friends, confirm your friends ’positions while waiting to meet.
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How smartphones use MEMS sensors