基于边缘采样的简化高阶CKF在非线性快速传递对准中的应用

doi:10.7527/S1000-6893.2018.22390

Abstract

Abstract: To solve the imperfection of error model during nonlinear transfer alignment in the inertial navigation system for shipboard aircraft, a new incorporate acceleration error model for lever-arm effect with large azimuth misalignment is presented with the flexure of a carrier. The High-degree Cubature Kalman Filter (HCKF) is used to estimate the state variables. Considering that HCKF requires a large amount of computation, the equation of state and measurement of the transfer alignment model is analyzed and a Marqunal Reduced High-degree Cubature Kalman Filter (M-RHCKF) algorithm is designed. The marginal sampling algorithm is used in the time update process and the reduced measurement update in the measurement update process. The proof of the algorithm is also given. The velocity plus attitude matching method is used to simulate the proposed model. The simulation results demonstrate that this model can meet the requirement of precision and time in transfer alignment. The misalignment estimation has a higher accuracy than the transfer alignment model without considering the dynamic lever-arm.

Key words: nonlinear transfer alignment, high-degree cubature Kalman filter, flexural deformation, dynamic lever-arm, inertial navigation system

CLC Number:

V249.3

LU Hang, HAO Shunyi, PENG Zhiying, HUANG Guorong. Application of marginal reduced high-degree cubature Kalman filter to nonlinear rapid transfer alignment[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(3): 322390-322390.

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Application of marginal reduced high-degree cubature Kalman filter to nonlinear rapid transfer alignment

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