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Journal Radioengineering №8 for 2014 г.
Article in number:
Method of adaptive Kalman filter settings in the task of tracking for a dynamic object with unknown acceleration
Keywords: filtering adaptation membership function fuzzification defuzzification fuzzy instructions
Authors:
A.V. Eliseev - Dr.Sc. (Eng.), Associate Professor, Leading Researcher, FRPC «RNIIRS»
N.Yu. Musychenko - Ph.D. (Eng.), Leading Researcher, FRPC «RNIIRS»
Abstract:
The problem of tracking a dynamic object with unknown acceleration. A new method for adaptive adjustment of the Kalman filter. Significant difference from the procedure of the proposed method based on the discrete dispersion correction of acceleration of dynamic object based on the current values of the error signal, the arithmetic mean of the residuals of the module and the module arithmetic mean of the residuals is a smooth variation of dispersion acceleration fuzzy logical law. Formalizing this dependence was performed as part of the mathematical apparatus of the theory of fuzzy sets by successive operations fuzzification, fuzzy design instructions and defuzzification. Efficiency and effectiveness of this method confirmed by comparative modeling, a specific example has demonstrated to the object comparison reduction of dynamic filtering error to 30%. The field of application of this method is high-precision tracking system monitoring systems trajectories of dynamic objects.
Pages: 39-44
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