A finite-horizon adaptive Kalman filter for linear systems with unknown disturbances
Signal Processing - Signal processing in communications
Journal of Intelligent and Robotic Systems
Brief paper: Distribution function tracking filter design using hybrid characteristic functions
Automatica (Journal of IFAC)
ACC'09 Proceedings of the 2009 conference on American Control Conference
Frequency-selective and nonlinear channel estimation with unknown noise statistics
IEEE Communications Letters
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Linearization errors inherent in the specification of an extended Kalman filter (EKF) can severely degrade its performance. This correspondence presents a new approach to the robust design of a discrete-time EKF by application of the robust linear design methods based on the H∞ norm minimization criterion. The results of simulations are presented to demonstrate an advantage for signal demodulation and nonlinear equalization applications