摘要
在捷联惯性导航系统的优化研究中,为提高系统的传递对准精度和缩短其对准时间,提出了一种新的非线性滤波方法 (Cubature Kalman Filter,CKF),并且建立了传递对准的大方位失准角误差模型,采用速度加姿态的匹配算法进行CKF滤波仿真。仿真结果表明CKF能够很好地处理初始对准中的非线性问题,提高初始对准精度,优于EKF的滤波结果。
In the study of the optimization of strapdown inertial navigation system, a new nonlinear filtering method named CKF was proposed to improve the accuracy of the transfer alignment and shorten the time of the alignment. Then it established a error model of large azimuth misalignment angle and used the velocity and attitude matching algorithm to do the CKF filter simulation. The results show that CKF can handle nonlinear problems of initial alignment well and offer a better result than the EKF filtering in initial alignment accuracy.
出处
《科技创新与生产力》
2016年第5期71-74,共4页
Sci-tech Innovation and Productivity
