提升小波在SINS信号去噪及初始对准中的应用  

Lifting Wavelet De-noising for SINS Alignment

作　　者：刘育浩[1] 黄新生[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,长沙410073

出　　处：《系统仿真学报》2009年第19期6013-6016,共4页Journal of System Simulation

基　　金：兵器项目预研基金(2020203)

摘　　要：针对惯性仪表测量信号中包含大量随机噪声的问题和经典小波的缺点,研究了提升小波算法在信号去噪和初始对准中的应用。研究了基于提升方式下的小波算法,并将其应用到惯性器件测量信号噪声消除中;建立了捷联惯导系统粗对准方案和在大方位失准角条件下的非线性精对准模型;将基于提升小波的噪声消除算法应用于捷联惯导系统初始对准中。实验结果表明,提升小波算法有效去除了惯性器件测量信号中的噪声;基于该算法,可提高初始对准速度和精度。In view of the noisy data of inertial instruments and the disadvantage of classical wavelet, the applications of lifting wavelet algorithm in de-noising and strapdown inertial navigation system （SINS） alignment were studied. The coarse alignment scheme and nonlinear fine alignment model under large heading uncertainty were built up. The de-noising algorithm based on lifting wavelet was applied to the signal de-noising of inertial instruments and SINS alignment. Results show that lifting wavelet algorithm is effective to the de-noising of inertial instruments. Also it can improve the rate and precision of SINS alignment.

关 键 词：捷联惯导 提升小波 去噪 初始对准 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计]