Search for dissertations about: "Particle Filtering for Positioning and Tracking Applications"

Found 2 swedish dissertations containing the words Particle Filtering for Positioning and Tracking Applications.

  2. 1. Particle filtering for positioning and tracking applications

    Author : Rickard Karlsson; Linköpings universitet; []
    Keywords : TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : A Bayesian approach to positioning and tracking applications naturally leads to a recursive estimation formulation. The recently invented particle filter provides a numerical solution to the non-tractable recursive Bayesian estimation problem. As an alternative, traditional methods such as the extended Kalman filter. READ MORE

  4. 2. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks

    Author : Svetlana Bizjajeva; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; positioning; state-space models; SMCM; particle filtering;

    Abstract : This thesis is based on 5 papers exploring the filtering problem in non-linear non-Gaussian state-space models together with applications of Sequential Monte Carlo (also called particle filtering) methods to the positioning in wireless networks. The aim of the first paper is to study the performance of particle filtering techniques in mobile positioning using signal strength measurements. READ MORE