Application of Wavelet Threshold Filter in Initial Alignment of SINS for Land Vehicle

摘要：

In order to improve accuracy and convergence rate of alignment of SINS for land vehicle, with considering the SINS error model and analyzing the major noise sources, the wavelet threshold filter was applied to eliminate high frequency noise in signal effectively. Next, initial alignment was by completed adaptive Kalman filter to reduce the errors from the inaccurate mathematical models and statistical properties of noise. Finally, the experiment results show the methods with wavelet threshold filter and adaptive Kalman filter improve effectively the convergence rate and alignment accuracy. It can satisfy the demands of navigation for land vehicle in general environment, and has a greater practical engineering value.

关键词： wavelet threshold filter adaptive Kalman filter initial alignment SINS

作者: TANG Xia-qing HUANG Xiang-yuan

作者单位: Department of Control EngineeringAcademy of Armored Forces Engineering Beijing, China Department of Control Engineering Academy of Armored Forces Engineering Beijing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 641-617

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）