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Article | 09-April-2018

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

Levenberg-Marquardt(abbr. L-M) method based iterative square root cubature Kalman filter (ISRCKFLM) is proposed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation. The measurement update of square root cubature Kalman filter (SRCKF) is transformed to the problem of nonlinear least square error, then we use L-M method to solve it and obtain the optimal state estimation and covariance, so the

Jing Mu, Changyuan Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 2, 98–106

Article | 07-May-2018

Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking

Levenberg-Marquardt (abbr.L-M) method based iterative square root cubature Kalman filter (abbr. ISRCKFLM) inherits the numerical stability of square root Cubature Kalman filter and effectively suppresses the influence of the larger initial estimation error and the nonlinearity of the measurement equation on the state estimation in the nonlinear state estimation due to obtaining the optimal state and variance estimates using the latest measurement through L-M method. We apply the ISRCKFLM

Mu Jing, Wang Changyuan

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 10–13

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