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