Optimal Filters for Systems Containing Serially Correlated Noise

摘要

An algorithm for obtaining optimal state estimates for discrete linear systems in the presence of serially correlated noise in both the observations and system dynamics is derived. The algorithm does not require state augmentation and exhibits a natural relationship between filtering and smoothing for serially correlated systems. (Author)