Sökning: "Kalman filtering"

Visar resultat 1 - 5 av 61 avhandlingar innehållade orden Kalman filtering.

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

    Författare :Daniel Svensson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; 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;

    Sammanfattning : 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. LÄS MER

  2. 2. Performance and Implementation Aspects of Nonlinear Filtering

    Författare :Gustaf Hendeby; Fredrik Gustafsson; Petar Djurić; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; particle filtering; nonlinear filtering; fault detection; Cramer-Rao lower bound; Kullback divergence; intrinsic accuracy; Automatic control; Reglerteknik;

    Sammanfattning : 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. LÄS MER

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

    Författare :Daniel Aronsson; Mikael Sternad; Ove Edfors; Uppsala universitet; []
    Nyckelord :channel estimation; channel prediction; OFDM; Kalman filtering; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Sammanfattning : 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. LÄS MER

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

    Författare :Peter Nauclér; Torsten Söderström; Anders Robertsson; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; vibration control; stochastic control; stochastic systems; feedforward control; Wiener filtering; Kalman filtering; wave separation; unbalance estimation; nonlinear regression; Automatic control; Reglerteknik;

    Sammanfattning : 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. LÄS MER

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

    Författare :Jelena Bojarova; Rolf Sundberg; Krzysztof Podgorski; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Sammanfattning : 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. LÄS MER