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Journal of Applied Sciences
  Year: 2009 | Volume: 9 | Issue: 24 | Page No.: 4195-4205
DOI: 10.3923/jas.2009.4195.4205
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Design and Implementation for a Non Linear State Filter for LEO Micro Satellite

S. Chouraqui and M. Benyettou

This study preliminarily investigates the numerical application of both Extended Kalman Filter (EKF) (which has traditionally been used for non linear estimation) and a relatively new filter, Unscented Kalman Filter (UKF) to the nonlinear estimation problem. The new method can be applied to nonlinear systems without the linearization process necessary for the EKF and it does not demand a Gaussian distribution of noise and what's more, its ease of implementation and more accurate estimation features enables it to demonstrate its good performance. Present experimental results and analysis indicate that unscented Kalman filtering UKF have shown better performances in presence of the severe nonlinearity in state equations.
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  •    An Adaptive UKF Algorithm for Single Observer Passive Location in Non-Gaussian Environment
How to cite this article:

S. Chouraqui and M. Benyettou, 2009. Design and Implementation for a Non Linear State Filter for LEO Micro Satellite. Journal of Applied Sciences, 9: 4195-4205.

DOI: 10.3923/jas.2009.4195.4205






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