The Demonstration of the Generalized Kalman Filter

Ming Zhan Zhao; Jie Yue; Chun Mei Du

doi:10.4028/www.scientific.net/AMM.490-491.719

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 490-491The Demonstration of the Generalized Kalman Filter

The Demonstration of the Generalized Kalman Filter

Abstract:

The generalized Kalman filter (GKF) is a method which is based on a generalized linear model. The coefficients of the linear model are fixed, and are not needed to be distinguished on-line or predefined. The GKF can be used to estimate the real-time estate of the continuous system, especially; the GKF can be used to estimate the estate of the mobile objective. The GKF is based on the minimum mean-square error. The recursive formula of the generalized kalman filter was also presented. Different from the EKF published on the magazines, the GKF doesn’t need to build the system model, so its ability of calculate and accuracy is improved.

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Periodical:

Applied Mechanics and Materials (Volumes 490-491)

Pages:

719-722

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.490-491.719

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Online since:

January 2014

Authors:

Ming Zhan Zhao, Jie Yue, Chun Mei Du

Keywords:

Generalized Kalman Filter, Kalman Filter, Recursive Formula

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