Kalman Filter Riccati Equation for the Prediction, Estimation, and Smoothing Error Covariance Matrices
Author(s) -
Nicholas Assimakis,
Μαρία Αδάμ
Publication year - 2013
Publication title -
isrn computational mathematics
Language(s) - English
Resource type - Journals
ISSN - 2090-7842
DOI - 10.1155/2013/249594
Subject(s) - riccati equation , algebraic riccati equation , kalman filter , mathematics , covariance , smoothing , extended kalman filter , covariance intersection , linear quadratic gaussian control , linear quadratic regulator , covariance matrix , fast kalman filter , invariant extended kalman filter , control theory (sociology) , mathematical analysis , mathematical optimization , differential equation , optimal control , algorithm , computer science , statistics , control (management) , artificial intelligence
The classical Riccati equation for the prediction error covariance arises in linear estimation and is derived by the discrete time Kalman filter equations. New Riccati equations for the estimation error covariance as well as for the smoothing error covariance are presented. These equations have the same structure as the classical Riccati equation. The three equations are computationally equivalent. It is pointed out that the new equations can be solved via the solution algorithms for the classical Riccati equation using other well-defined parameters instead of the original Kalman filter parameters.
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