Title :
Recursive algorithms for linear LMSE estimators under uncertain observations
Author_Institution :
409-8 Assiniboine Rd., Dawnsview, Ontario, Canada
fDate :
9/1/1984 12:00:00 AM
Abstract :
Hadidi and Schwartz [1] proposed a recursive linear estimator algorithm for linear discrete-time systems under uncertain observations when it exists. In this note two sets of formulas for the optimal filter and one-step predictor under uncertain observations, when they exist, are derived. These formulas differ, to some extent, from those proposed in [1].
Keywords :
Least-mean-square methods; Recursive estimation; State estimation, linear systems; Covariance matrix; Equations; Linear systems; Nonlinear filters; Probability; Random variables; Recursive estimation; Statistics; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1984.1103655