Levenberg-Marquardt Method Based Iteration Square Root Cubature Kalman Filter ant its applications

被引：2

作者：

Mu Jing ^{[1
]}

Wang Changyuan ^{[1
]}

机构：

[1] Xian Technol Univ, Sch Comp Sci & Engn, Xian 710032, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA) | 2017年

关键词：

Nonlinear filtering; Cubature Kalman filter; Levenberg-Marquardt method;

D O I：

10.1109/ICCNEA.2017.22

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation, we obtain Levenberg-Marquardt (abbr. L-M) method based iteration square root cubature Kalman filter (ISRCKFLM) combining the measurement update of square root cubature Kalman filter (SRCKF) with nonlinear least square error, so the ISRCKFLM algorithm has the virtues of global convergence and numerical stability. We apply the ISRCKFLM algorithm to state estimation for re-entry ballistic target; the simulation results demonstrate the ISRCKFLM algorithm has better accuracy of state estimation.

引用

页码：33 / 36

页数：4

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