Research Highlights Student projects

Applied Estimation Theory

Our researchers who work in this field mainly attempt to apply estimation techniques such as Kalman filter, extended Kalman filter, Particle filter, Unscented Kalman filter to determine a certain set of properties/quantities of a system based on noise corrupted measurements obtained from sensors. Applications include parameter estimation in communication/radar/navigation systems, image processing, and sensor/information fusion.


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