Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (8): 1845-1849.doi: 10.3969/j.issn.1001-506X.2011.08.31

• 制导、导航与控制 • 上一篇    下一篇

提升小波在SINS分段快速对准中的应用

高伟熙1, 缪玲娟1, 倪茂林2   

  1. 1. 北京理工大学自动化学院, 北京 100081;2. 北京控制工程研究所空间智能控制技术国家重点实验室, 北京 100190
  • 出版日期:2011-08-15 发布日期:2010-01-03

Lifting wavelet de-noising for SINS piece-wise fast alignment

GAO Wei-xi1, MIAO Ling-juan1, NI Mao-lin2   

  1. 1. School of Automation, Beijing Institute of Technology, Beijing 100081, China; 
    2. National Laboratory of Space Intelligent Control, Beijing Institute of Control Engineering, Beijing 100190, China
  • Online:2011-08-15 Published:2010-01-03

摘要:

提出了一种利用提升小波进行消噪的捷联惯性导航系统(strapdown inertial navigation system, SINS)分段快速对准新方法。该方法首先进行水平精对准,然后利用提升小波算法对陀螺仪的输出信号进行消噪后,快速计算出方位失准角并进行修正,完成对准过程。理论分析和实际系统试验表明:提升小波算法对于光纤陀螺信号具有良好的消噪效果,新方法与传统的Kalman滤波对准方法具有相同的稳态精度,但方位精对准过程中,不需要进行捷联惯导的力学编排,精对准的时间可以缩短至30 s左右。该方法弥补了传统Kalman滤波精对准方法中方位失准角估计速度慢的缺陷,大幅度提高了SINS的初始对准速度。

Abstract:

A novel piece-wise fast alignment method for strapdown inertial navigation system (SINS) stationary alignment using lifting wavelet is presented. First, the fine horizontal alignment is executed. After the fine horizontal alignment, a lifting wavelet algorithm is utilized to de-noise the output of the gyros, and the azimuth mis-alignment angle is rapidly calculated Theoretical analysis and practical experiment show that the lifting wavelet algorithm is effective to the de-noising of fiber optic gyro. Compared with the method using Kalman filter in the whole process of the alignment, this method has the same steady state accuracy, but in the process of the fine azimuth alignment, the mechanical arrangement of SINS is not needed, and the time of fine alignment can be shortened to 30 s or so. This method makes up the defect that the convergence speed of the azimuth misalignment angle is slow, and accelerates the initial alignment process.