Sökning: "channel parameter estimation"
Visar resultat 6 - 10 av 44 avhandlingar innehållade orden channel parameter estimation.
6. Antennas and Propagation from a Signal Processing Perspective
Sammanfattning : This thesis studies several topics within the area of antennas and propagation from a signal processing perspective. However, theory and methods from electromagnetics and communications have also been used, contributing to an interdisciplinary character of the thesis. LÄS MER
7. On some continuous-time modeling and estimation problems for control and communication
Sammanfattning : The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.In the thesis, continuous-time models of systems controlled in a networked environment, errors-in-variables systems, stochastic closed-loop systems, and wireless channels are considered. LÄS MER
8. Radio Channel Prediction Based on Parametric Modeling
Sammanfattning : 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. LÄS MER
9. Some problems of modeling and parameter estimation in continous-time for control and communication
Sammanfattning : Stochastic system identification is of great interest in the areas of control and communication. In stochastic system identification, a model of a dynamic system is determined based on given inputs and received outputs from the system, where stochastic uncertainties are also involved. LÄS MER
10. Parameter Estimation for Multisensor Signal Processing : Reduced Rank Regression, Array Processing and MIMO Communications
Sammanfattning : This thesis deals with three estimation problems motivated by spatial signal processing using arrays of sensors. All three problems are approached using tools from estimation theory, including asymptotical analysis of performance and Cramér-Rao lower bound; Monte Carlo methods are used to evaluate small sample performance. LÄS MER