Tracking of signal and its derivatives in Gaussian white noise

For the observation model “signal + white Gaussian noise”, an on-line tracking algorithm for signal and its derivatives is proposed. The tracking algorithm applies to a class of signals with derivative up to the kth order. The asyptotic optimality in the minimax sense, with respect to small intensity of noise, is established.