Citation
Hajiyev, C. (2010), "Letter to the Editor", Aircraft Engineering and Aerospace Technology, Vol. 82 No. 2. https://doi.org/10.1108/aeat.2010.12782bab.002
Publisher
:Emerald Group Publishing Limited
Copyright © 2010, Emerald Group Publishing Limited
Letter to the Editor
Article Type: Letter to the Editor From: Aircraft Engineering and Aerospace Technology: An International Journal, Volume 82, Issue 2
In a recently published article (Jwo and Chang, 2009), the conventional Kalman filter approach is coupled by the adaptive tuning system assisted by the particle swam optimization (PSO). The PSO provides the process noise covariance scaling factor.
The optimization problem is performed using PSO by iteratively tuning the fitness function (FIT):
When the required FIT (FIT=1) is obtained, the iteration is terminated and the scaling factor α is determined.
I think that there is no need for any optimization procedure for the determination of the scaling factor α.
In order to calculate scaling factor, equality of:
may be used. The scaling factor can be obtained from expression (2) as:
As it is seen from obtained results, the scaling factor α can be calculated analytically via expression (3) and there is no need for any PSO assisting.
Chingiz HajiyevFaculty of Aeronautics and Astronautics, Istanbul Technical University, Istanbul, Turkey
References
Jwo, D.-J. and Chang, S.-C. (2009), “Particle swarm optimization for GPS navigation Kalman filter adaptation”, Aircraft Engineering & Aerospace Technology, Vol. 81 No. 4, pp. 343–52