Lifting Wavelet De-Noising for SINS Alignment

摘要：

Considering inertial sensors measurements _ ISM _ containing many stochastic noises,the application of lifting wavelet transform(LWT)algorithm in the de-noising of ISM is put forward for Strapdown Inertial Navigation System(SINS) alignment.First,the LWT algorithm is introduced and applied into the de-noising of ISM.Then,the coarse alignment model and nonlinear fine alignment model under large heading uncertainty are built up.Finally,with the de-noised measurements,the results of SINS coarse alignment and fine alignment verify the effect of the LWT de-noising algorithm.Results show that LWT algorithm is effective in the de-noising of ISM,and also it can improve the convergence rate and precision of SINS alignment.

关键词： SINS Lifting Wavelet.De-Noising.Initial Alignment.

作者: Yuhao Liu Xinsheng Huang Dongxue Yue

作者单位: College of Electromechanical and Automation National University of Defence Technology Changsha,Hunan,410073,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 831-834

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）