Search for dissertations about: "Kalman smoothing"
Showing result 1 - 5 of 12 swedish dissertations containing the words Kalman smoothing.
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1. Precise kinematic GPS positioning with Kalman filtering and smoothing
Abstract : The Global Positioning System (GPS) has proven to be auseful tool for the determination of positions of a widevariety of moving platforms to accuracies in the order of a fewcentimetres. One of the critical aspects of precise kinematicGPS positioning at the centimetre level is the determination ofinteger carrier phase cycle ambiguities. READ MORE
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2. Channel Estimation and Prediction for 5G Applications
Abstract : Accurate channel state information (CSI) is important for many candidate techniques of future wireless communication systems. However, acquiring CSI can sometimes be difficult, especially if the user equipment is mobile in which case the future channel realisations must be estimated/predicted. READ MORE
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3. Inertial Navigation and Mapping for Autonomous Vehicles
Abstract : Navigation and mapping in unknown environments is an important building block for increased autonomy of unmanned vehicles, since external positioning systems can be susceptible to interference or simply being inaccessible. Navigation and mapping require signal processing of vehicle sensor data to estimate motion relative to the surrounding environment and to simultaneously estimate various properties of the surrounding environment. READ MORE
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4. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools
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
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5. Data Filtering and Control Design for Mobile Robots
Abstract : In this thesis, we consider problems connected to navigation and tracking for autonomousrobots under the assumption of constraints on sensors and kinematics. We study formation controlas well as techniques for filtering and smoothing of noise contaminated input. The scientific contributions of the thesis comprise five papers. READ MORE