多小波在捷联系统信号滤波中的应用  

Multi-Wavelet Transform and Its Application in Signal Filtering of Gyroscopes for SINS

作　　者：霍国平[1] 崔燕[1] 

机构地区：[1]北京理工大学信息科学技术学院自动控制系,北京100081

出　　处：《微计算机信息》2007年第03S期6-7,5,共3页Control & Automation

基　　金：国防预研基金资助项目(编号不公开)

摘　　要：捷联惯导系统中快速准确地实现初始对准,以获得载体方位信息与姿态信息很大程度上依赖于对于陀螺漂移项的抑制技术。基于信号滤波的思想引入的多小波去噪的方法相对于标量小波而言,有很多优点,但是由于维数的增加必将加大分析的难度,所以又有一些独特的处理方法。数字仿真和与Db4小波的处理结果进行对比的结果均证明了该方法的可行性与优越性。It＇s important for SINS to determine initial azimuth angle and attitude angle of the carrirer accurately and quickly as we have known, gyroscope drift is a main problem in this procedure. Therefore, how to eliminate the gyros drift Rate effectively is the key to guarantee the north-seeker accuracy. This paper introduces a method of de-noising by multiwavelet for SINS, and compare it＇ s result to the Db4 scalar wavelet. With the results of numerical simulations, this method is good enough to satisfy the reqirements and with the feasibility and advantage.

关 键 词：多小波变换 预滤波 去噪 陀螺漂移 

分 类 号：V241.62[航空宇航科学与技术—飞行器设计]