Title : ( Optimal Partitioned State Kalman Estimator )
Authors: Ali Karsaz , Hamid Khaloozadeh , M. Darbandi ,
Full TextAbstract
A new general two-stage algorithm was originally proposed to reduce the computational effort of the augmented state Kalman estimator. The conventional input estimation techniques assume constant input level and there are not covered a generalized input modeling. In this paper an innovative scheme is developed to overcome these drawbacks by using a new partitioned input dynamic modeling. In addition, authors propose a modified two-stage Kalman estimator with a new structure, which is an extension of the conventional input estimation techniques and is optimal for general, linear discrete-time systems.
Keywords
, Estimation;Kalman filters;Covariance matrix;Mathematical model;Equations;Acceleration;Target tracking;Optimal two, stage Kalman estimators;input estimation;augmented state Kalman estimators;maneuvering target tracking
@inproceedings{paperid:1106385,
author = {Ali Karsaz, and Hamid Khaloozadeh and M. Darbandi},
title = {Optimal Partitioned State Kalman Estimator},
booktitle = {2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics},
year = {2010},
location = {Harbin},
keywords = {Estimation;Kalman filters;Covariance matrix;Mathematical model;Equations;Acceleration;Target tracking;Optimal two-stage Kalman estimators;input estimation;augmented state Kalman estimators;maneuvering target tracking},
}
%0 Conference Proceedings
%T Optimal Partitioned State Kalman Estimator
%A Ali Karsaz,
%A Hamid Khaloozadeh
%A M. Darbandi
%J 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
%D 2010
