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Filtering by: Advisor Magana, Mario Remove constraint Advisor: Magana, Mario Subject Kalman filtering Remove constraint Subject: Kalman filtering

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  • 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:
    : Distributed Dynamic Multi-Area State Estimation with Fusion Technique Abstract approved: Mario E. Magaña

  • 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:
    Mario E. Magaña In wireless communication, channel state information (CSI) is essential for data

  • 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:
    approved: ______________________________________________________ Mario E. Magaña Due to the