Search for dissertations about: "time varying kalman filter"
Showing result 1 - 5 of 13 swedish dissertations containing the words time varying kalman filter.
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1. On estimation in econometric systems in the presence of time-varying parameters
Abstract : Economic systems are often subject to structural variability. For the achievement of correct structural specification in econometric modelling it is then important to allow for parameters that are time-varying, and to apply estimation techniques suitably designed for inference in such models. READ MORE
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2. Studies on identification of time-variant and time-varying nonlinear systems
Abstract : This thesis addresses same aspects of nonlinear systemidentification. In par ticular, it is assumed that theconsidered systems can be described by the Wiener model whichconsists of a dynamit linear part followed by a nonbnear partor the Haxnmerstein model in which the order of these twoblocks is reversed. READ MORE
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3. Channel Estimation and Prediction for MIMO OFDM Systems : Key Design and Performance Aspects of Kalman-based Algorithms
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
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4. Radio Channel Prediction Based on Parametric Modeling
Abstract : Long range channel prediction is a crucial technology for future wireless communications. The prediction of Rayleigh fading channels is studied in the frame of parametric modeling in this thesis.Suggested by the Jakes model for Rayleigh fading channels,deterministic sinusoidal models were adopted for long rangechannel prediction in early works. READ MORE
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5. Feedback Control and Sensor Fusion of Vision and Force
Abstract : This thesis deals with feedback control using two different sensor types, force sensors and cameras. In many tasks robotics compliance is required in order to avoid damage to the workpiece. Force and vision are the most useful sensing capabilities for a robot system operating in an unknown or uncalibrated environment. READ MORE