水下航行器USBL/INS紧密耦合集成的混合无导数EKF

Y. Geng, J. Sousa
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引用次数: 10

摘要

本文提出了一种新的混合无导数扩展卡尔曼滤波器,它利用了卡尔曼滤波器的线性时间传播特性和无导数扩展卡尔曼滤波器的非线性测量传播特性。该滤波器适用于由USBL或GPS与INS组成的紧密耦合集成导航系统。与无气味卡尔曼滤波(UKF)等非线性估计方法相比,计算量大大减少。仿真结果验证了所提卡尔曼滤波器的有效性。该滤波器在集成导航中的性能与UKF相当。
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Hybrid derivative-free EKF for USBL/INS tightly-coupled integration in AUV
This paper presents a novel hybrid derivative-free extended Kalman filter, which takes advantage of both the linear time propagation of the Kalman filter and nonlinear measurement propagation of the derivative-free extended Kalman filter. The proposed filter is very suitable for the tightly coupled integration navigation system which consists of USBL or GPS with INS. The computation burden is reduced sharply compare to nonlinear estimation method such as the unscented Kalman filter (UKF). Simulations are conducted to illustrate the effectiveness of the proposed Kalman filter. The performance of the novel filter is as good as that of the UKF in integration navigation.
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