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  • Multi-User Massive MIMO Channel Estimation Based on Kalman Filters

    Creator:
    Yao, Zhaoda
    Abstract:
    In wireless communication, channel state information (CSI) is essential for data detection. Fast fading coefficients estimation is important in order to acquire accurate CSI. Kalman filters (KF) are widely used for real time parameter estimation and can be used to estimate the fast fading coefficients of a mobile communication channel....
    Resource Type:
    Masters Thesis
    Full Text:
    Kalman Filters. Abstract approved: ______________________________________________________

  • Extended Kalman Filter Simulink Model for Nonlinear System Modeling

    Creator:
    So, Ratanak
    Abstract:
    The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a well-known filter for estimating the state of a system, assuming the system is linear and it has a Gaussian distribution in its noise. In reality,...
    Resource Type:
    Masters Thesis
    Full Text:
    Extended Kalman Filter 4.1 Taylor Series Expansion The key to nonlinear Kalman filtering is to expand the

  • Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter

    Creator:
    Muñoz Constantine, Juan Pablo
    Abstract:
    Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause...
    Resource Type:
    Masters Thesis
    Full Text:
    conditions. Iterative methods based on Kalman filtering have been proposed in [17, 18]. These approaches

  • Real-Time Estimation and Prediction of Wave Excitation Forces for Wave Energy Control Applications

    Creator:
    Ling, Bradley A.
    Abstract:
    Wave energy is emerging as a new potential source for renewable energy generation. However, wave energy technology is not currently cost competitive with other more mature renewable energy sources such as wind and solar. One approach that researchers and developers are taking to reduce the cost of wave energy is...
    Resource Type:
    Masters Thesis
    Full Text:
    actions depend on these future forces. This thesis details a methodology that uses a Kalman filter to

  • Modified linear theory and Kalman filtering for in flight projectile impact point prediction

    Creator:
    Hainz, Leonard C.
    Abstract:
    A method for real time in-flight prediction of the ground impact point of an indirect fire projectile is investigated. The method investigated is comprised of a combination of an impact point predictor and an extended Kalman filter state estimator based on modified linear theory. The modified linear theory model is...
    Resource Type:
    Masters Thesis
    Full Text:
    . 2004. Title: Modified Linear Theory and Kalman Filtering for In Flight Projectile Impact Point

  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
    Resource Type:
    Dissertation
    Full Text:
    estimate for the instant k+ 1. The most commonly used filtering technique is the Kalman filter technique

  • Data assimilation for prediction of shallow water flows with uncertain bathymetry

    Creator:
    Wilson, Gregory W.
    Abstract:
    A new method is introduced for incorporating bathymetric uncertainty into predictions of nearshore and river flows (i.e., unstratified flows primarily forced by pressure and radiation stress gradients). The method involves the use of the ensemble Kalman filter (EnKF) as a parameter estimation scheme, where the parameter to be estimated is...
    Resource Type:
    Dissertation
    Full Text:
    method involves the use of the ensemble Kalman filter (EnKF) as a parameter estimation scheme, where

  • Calibration, characterization, and linear quadratic Gaussian estimation of sensor feedback signals for a novel ocean wave energy linear test bed

    Creator:
    Haller, Christopher A.
    Abstract:
    Continual growth of the world's energy consumption and the demand for long-term clean renewable energy resources has led to the development of ocean-based wave energy technologies. Emerging technologies are advancing potential solutions to the complex problem of energy generation in the harsh and corrosive ocean environment. To develop these technologies,...
    Resource Type:
    Masters Thesis
    Full Text:
    by providing estimates of the Linear Test Bed’s feedback signals and system states. The Kalman