Search for dissertations about: "Kalman filtering"

Showing result 1 - 5 of 53 swedish dissertations containing the words Kalman filtering.

  1. 1. Multiple Model Filtering and Data Association with Application to Ground Target Tracking

    Author : Daniel Svensson; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multiple model filtering; semi-Markov processes; multi-target tracking; FISST; state estimation; IMM; performance evaluation; OSPA; PHD; ground target tracking; Kalman filtering; target tracking; CPHD; MHT; random finite sets;

    Abstract : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. READ MORE

  2. 2. Performance and Implementation Aspects of Nonlinear Filtering

    University dissertation from Institutionen för systemteknik

    Author : Gustaf Hendeby; Linköpings universitet.; Linköpings universitet.; [2008]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; particle filtering; nonlinear filtering; fault detection; Cramer-Rao lower bound; Kullback divergence; intrinsic accuracy; TECHNOLOGY Information technology Automatic control; TEKNIKVETENSKAP Informationsteknik Reglerteknik;

    Abstract : I många fall är det viktigt att kunna få ut så mycket och så bra information som möjligt ur tillgängliga mätningar. Att utvinna information om till exempel position och hastighet hos ett flygplan kallas för filtrering. I det här fallet är positionen och hastigheten exempel på tillstånd hos flygplanet, som i sin tur är ett system. READ MORE

  3. 3. Channel Estimation and Prediction for MIMO OFDM Systems : Key Design and Performance Aspects of Kalman-based Algorithms

    University dissertation from Uppsala : Institutionen för teknikvetenskaper

    Author : Daniel Aronsson; Uppsala universitet.; [2011]
    Keywords : channel estimation; channel prediction; OFDM; Kalman filtering; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Wireless broadband systems based on Orthogonal Frequency Division Multiplexing (OFDM) are being introduced to meet demands for high data transfer rates. In multiple users systems, the available bandwidth has to be shared efficiently by several users. The radio channel quality will fluctuate, or fade, as users move. READ MORE

  4. 4. Estimation and Control of Resonant Systems with Stochastic Disturbances

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Peter Nauclér; Uppsala universitet.; Uppsala universitet.; [2008]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; vibration control; stochastic control; stochastic systems; feedforward control; Wiener filtering; Kalman filtering; wave separation; unbalance estimation; nonlinear regression; TECHNOLOGY Information technology Automatic control; TEKNIKVETENSKAP Informationsteknik Reglerteknik;

    Abstract : The presence of vibration is an important problem in many engineering applications. Various passive techniques have traditionally been used in order to reduce waves and vibrations, and their harmful effects. Passive techniques are, however, difficult to apply in the low frequency region. READ MORE

  5. 5. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools

    University dissertation from Stockholm : Department of Mathematics, Stockholm University

    Author : Jelena Bojarova; Stockholms universitet.; [2010]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Abstract : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. READ MORE