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基于Krein空间的鲁棒Kalman滤波在传递对准中的应用研究
Study on application of robust Kalman based on Krein space to transfer alignment
【摘要】 基于Krein空间的鲁棒Kalman滤波器与通过其它方法建立的鲁棒Kalman滤波器相比有较高稳态精度。文中将基于Krein空间的鲁棒Kalman滤波方法用于导弹捷联惯导系统动基座传递对准,并与标准Kalman滤波进行了比较。仿真结果表明,在垂直比力参数存在摄动的情况下,如果基于Krein空间的鲁棒Kalman滤波器的参数选取适当,它的精度鲁棒性优于标准Kalman滤波。
【Abstract】 Robust Kalman filter via Krien space is more accurate in stable state than the robust Kalman filter deduced by other methods.Robust Kalman filter via Krien space is applied in transfer alignment of strapdown inertial navigation system(SINS) of the missile on moving base,and its robust performance is compared with that of standard Kalman filter in transfer alignment.Simulations show that when vertical ratio force changes,the robust Kalman filter via Krien space is of better accuracy robustness than standard Kalman filter if its parameters are given properly.
【Key words】 robust Kalman filtering; Kalman filtering; SINS; transfer alignment; moving base;
- 【文献出处】 中国惯性技术学报 ,Journal of Chinese Inertial Technology , 编辑部邮箱 ,2006年04期
- 【分类号】TN713
- 【被引频次】8
- 【下载频次】264