Continuous time, adaptive, ML based Kalman filtering is considered. First, the geometric structure of the MLE limit parameter sets is characterized. Then, based on the geometric study, a recursive adaptive filtering scheme is derived to obtain asymptotically optimal (minimum variance) state estimates.
D. Levanony, A. Baghi (Dept. of Applied Mathematics, University of Twente, The Netherlands)