平方根二阶EKF及其在目标运动分析中的应用

Abstract

Abstract: To cope with the significant nonlinearity and weak observability problems in the passive target motion analysis(TMA),a new nonlinear filter based on second-order extended Kalman technology and square-root Kalman algorithm is developed.By orthogonalizing the state vectors with the square root of covariance matrixes,the computational complexity in second-order extended Kalman algorithm is reduced,and then a second-order extended Kalman algorithm based on square-root Kalman technology,which improves the numerically stability of a filter,is deduced.The new algorithm is applied to a TMA problem and proves with both numerical simulation and actual experimentation that it performs well in the significant nonlinear systems.

CLC Number:

TN957

FENG Dao-wang, LI Teng, HUANG Zhi-tao. Square-root form second-order EKF algorithm and its application in passive target motion analysis[J]. Journal of Systems Engineering and Electronics, 2009, 31(9): 2101-2105.

References

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Square-root form second-order EKF algorithm and its application in passive target motion analysis

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