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The research of the Dept. of Pervasive Computing Navigation Group focuses on problems that are encountered in personal positioning in everyday life navigation applications. In personal positioning, the operating environment is not known beforehand, which complicates the algorithmic design of the navigation system:

  • The positioning device is portable, and the unit is to be used in various environments, such as in urban canyons, forested areas and indoors. Successful navigation algorithms need to adapt to these different navigation situations to optimize the accuracy and reliability of the navigation solution.
  • User-level integrity and reliability monitoring becomes important in environments where the conventional assumption of normally distributed and time-independent errors does not hold.
  • GNSS (Global Navigation Satellite Systems) signals are often subject to complete blockage. WLAN, Dead-Reckoning, map constraints etc. need to be used for position estimation in such case.   
The integration of radio-navigation systems and self-contained sensor systems is another special research topic. In this combination, cost, size, and power consumption of the sensor unit need to be minimized, and robust integration algorithms are required. As MEMS (Micro-Electro-Mechanical System) technology evolves continuously, calibration and field testing of new sensors takes large portion of our time.

       Other nav. research groups at TUT

TUT/Math Personal Positioning Algorithms Research Group

TUT/DCE Signal processing for wireless positioning

TUT/DCS GNSS Receiver Group