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.