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作 者:SUN Xiaohui WEN Chenglin WEN Tao
机构地区:[1]School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China [2]School of Automation,Guangdong University of Petrochemical Technology,Maoming 525000,China [3]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
出 处:《Chinese Journal of Electronics》2022年第1期190-198,共9页电子学报(英文版)
基 金:supported by the National Natural Science Foundation of China(61751304,61806064,61933013,61703385,U1664264);Science and Technology Project of China Electric Power Research Institute(SGHB0000KXJS1800375)。
摘 要:In this paper, a novel maximum correntropy high-order extended Kalman filter(H-MCEKF) is proposed for a class of nonlinear non-Gaussian systems presented by polynomial form. All high-order polynomial terms in the state model are defined as implicit variables and regarded as parameter variables;the original state model is equivalently formulated into a pseudo-linear form with original variables and parameter variables;the dynamic relationship between each implicit variable and all variables is modeled, then an augmented linear state model appears by combing with pseudo-linear state model;similarly, the nonlinear measurement model can be equivalently rewritten into linear form;once again, the statistical characteristics of non-Gaussian modeling error are described by mean value and variance based on their finite samples;combing original measurement model with predicted value regarded as added state measurement, a cost function to solve the state estimation based on maximum correntropy criterion(MCC) is constructed;on the basis of this cost function, the state estimation problem can be equivalently converted into a recursive solution problem in the form of Kalman filter, in which the filter gain matrix is solved by numerical iteration though its fixed-point equation;illustration examples are presented to demonstrate the effectiveness of the new algorithm.
关 键 词:Maximum correntropy criterion Implicit variables High-order extended Kalman filter Fixed-point equation
分 类 号:TN713[电子电信—电路与系统]
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