Positioning Algorithms Group
Personal positioning refers to computing the 3D position coordinates of a portable handset using a variety of measurements. Combining information from satellite-based systems (such as GPS), terrestrial radio systems (such as cellular networks), and on-board sensors has presented numerous new challenges, especially as some of the measurements were not originally intended to be used for positioning purposes.
Meanwhile, the increasing computational capabilities of the mobile handset are making it possible to take advantage of more sophisticated mathematical methods to compensate for the scarce and incomplete data.
The group studies the point-position and nonlinear filtering techniques required in modern personal positioning, including
In addition, we research statististical
and geometric models pertaining to the problem as well
as efficient numerical algorithms for
Research group TUT portfolio code is MAT-POS.
Särkkä, adjunct professor
Ali-Löytty, postdoctoral researcher
Matti Raitoharju, postdoctoral researcher
Pavel Davidson, postdoctoral researcher
Juha Ala-Luhtala, researcher
Henri Nurminen, researcher
Sakari Rautalin, research assistant
Jaakko Pihlajasalo, research assistant
Heikki Virekunnas, research assistant
Konstantin Hahl, research assistant
Saara Kuismanen, research assistant
|Niilo Sirola, Dr.
Kari Heine, Dr. Tech,
Liang Chen, Dr. Tech,
Marzieh Dashti, Dr. Tech,
Henri Pesonen, Dr. Tech,
Juliane Muller, Dr. Tech,
Muller Philipp, Dr. Tech,
Tommi Perälä, M.Sc. and
|Other positioning/navigation research groups at TUT:|
Updated by simo.ali-loytty at tut.fi on 26-May-2017.