Bayesian estimation and quality monitoring for personal positioning systems

Personal positioning systems have become an integral part of our daily lives, as most households own a navigator and a smart phone. The quality of positioning services must be carefully monitored, for example, to ensure that emergency services can easily locate the incident site. 

When estimating the position of a person, as opposed to an airplane, the type of motion can change at any time, as a pedestrian can board a bus or a cyclist can board a train. In addition, the changing surroundings in an urban environment influence observation noise, as tall buildings blocking the line of sight to satellites are full of reflecting surfaces.

For his dissertation research, MSc (Tech) Henri Pesonen developed positioning algorithms and quality monitoring systems that improve the accuracy of personal positioning. The methods take into account the abrupt changes in the state-space system.

Public defence of a doctoral dissertation on Friday, 8 February

The doctoral dissertation of MSc (Tech) Henri Pesonen in the field of mathematics titled “Bayesian Estimation and Quality Monitoring for Personal Positioning Systems” will be publicly examined at the Faculty of Natural Sciences of Tampere University of Technology (TUT) in room S4 in the Sähkötalo building (address: Korkeakoulunkatu 8, Tampere, Finland) at 12:00 on Friday, 8 February.

The opponent will be Professor Fredrik Gustafsson (Linköping University, Sweden). Professor Robert Piché from the Department of Automation Science and Engineering at TUT will act as Chairman.

Henri Pesonen (31) comes from Ulvila, Finland, and works as a lecturer at the University of Turku. 

Further information:
Henri Pesonen, tel. +358 40 570 5756, ">henri.pesonen@utu.fi

The dissertation is available online.