Sökning: "Particle Positioning"
Visar resultat 1 - 5 av 29 avhandlingar innehållade orden Particle Positioning.
1. Sequential Monte Carlo Methods with Applications to Positioning and Tracking in Wireless Networks
Sammanfattning : 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. LÄS MER
2. Gaussian Processes for Positioning Using Radio Signal Strength Measurements
Sammanfattning : 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. LÄS MER
3. Transition in Particle-laden Flows
Sammanfattning : 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. LÄS MER
4. Digital Cognitive Companions for Marine Vessels : On the Path Towards Autonomous Ships
Sammanfattning : 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. LÄS MER
5. Particle filtering for positioning and tracking applications
Sammanfattning : 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. LÄS MER