Error bounds in optimum smoothing

Proper choice of prior statistics and mathematical models for optimum filtering and smoothing algorithms are essential for successful operation of control and communication systems in which estimation requirements are present. This letter presents the development of a set of relations which allows the determination of error bounds for the estimation error covariance matrix of fixed-point smoothing and fixed-interval smoothing algorithms for optimum linear estimation.