Search for dissertations about: "Particle Positioning"
Showing result 1 - 5 of 29 swedish dissertations containing the words Particle Positioning.
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1. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks
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
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2. Gaussian Processes for Positioning Using Radio Signal Strength Measurements
Abstract : Estimation of unknown parameters is considered as one of the major research areas in statistical signal processing. In the most recent decades, approaches in estimation theory have become more and more attractive in practical applications. READ MORE
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3. Transition in Particle-laden Flows
Abstract : This thesis presents the study of laminar to turbulent transition of particle laden flows. When a flow becomes turbulent, the drag increases one order of magnitude compared to a laminar flow, therefore, much research is devoted to understand and influence the transition. READ MORE
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4. Digital Cognitive Companions for Marine Vessels : On the Path Towards Autonomous Ships
Abstract : As for the automotive industry, industry and academia are making extensive efforts to create autonomous ships. The solutions for this are very technology-intense. Many building blocks, often relying on AI technology, need to work together to create a complete system that is safe and reliable to use. READ MORE
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5. Particle filtering for positioning and tracking applications
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