Combination of Wavelet and Kalman Filter in SINS Initial Alignment

被引：0

作者：

Lei, Pei ^{[1
]}

Zhang, Xinghui ^{[1
]}

机构：

[1] Tianjin Univ Technol & Educ, Dept Automat, Tianjin, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION, PROCEEDINGS | 2009年

关键词：

wavelet transform; strapdown inertial navigation system; initial alignment; kalman filter;

D O I：

暂无

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

In this paper we propose a novel approach in order to improve the efficiency and accuracy of initial alignment of SINS. According to the initial alignment of SINS, it used wavelet transform technique to de-noise the noise signals and the shaking signals which provided by Gyro and Accelerometer, and put the new state equation model in kalman filter to operating. The computer simulation results showed that the method reduced the region of amplitude during the process of the initial alignment. It not only has good convergence performance, but also improves the precision of the system. The method has a good prospect in the small-sized SINS.

引用

页码：236 / 239

页数：4