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扰动基座下惯组信号消噪方法对比研究
引用本文:邓雅麒,张春熹,李佳桐.扰动基座下惯组信号消噪方法对比研究[J].导航与控制,2012(4):32-36.
作者姓名:邓雅麒  张春熹  李佳桐
作者单位:北京航空航天大学仪器科学与光电工程学院;北京航空航天大学仪器科学与光电工程学院;北京航空航天大学仪器科学与光电工程学院
摘    要:针对捷联惯导系统在扰动基座下对准时,惯组信号中存在干扰角运动和线运动的特点,进行了车载扰动基座初始对准试验,对试验数据进行频谱分析,得到车载扰动基座环境的频域特性。根据分析结果,设计并实现了FIR数字滤波器滤波和小波滤波对惯组信号的消噪,频谱分析和惯性系粗对准的结果显示,这两种方法都能有效地消除惯组信号中的噪声。数据分析显示,小波滤波的效果要优于FIR数字滤波器滤波的效果。

关 键 词:扰动基座  惯性系粗对准  频谱分析  FIR滤波  小波滤波  消噪

Contrast and Study on De-noising Methods for IMU Signals Based on A Disturbing Base
DENG Ya-qi,ZHANG Chun-xi and LI Jia-tong.Contrast and Study on De-noising Methods for IMU Signals Based on A Disturbing Base[J].Navigation and Control,2012(4):32-36.
Authors:DENG Ya-qi  ZHANG Chun-xi and LI Jia-tong
Institution:School of Instrument Science and Opto-electronics Engineering, Beihang University;School of Instrument Science and Opto-electronics Engineering, Beihang University;School of Instrument Science and Opto-electronics Engineering, Beihang University
Abstract:When strapdown inertial navigation system carries through alignment process on a disturbing base, the disturbance signal is stronger. Initial alignment experiment on a vehicle disturbing base is carried out. The spectrum analysis for the experimental data is realized. The frequency characteristics of vehicle disturbing base are investigated. Based on the analysis results, FIR digital filter and wavelet filter are designed. They achieve the de-noising for IMU signal. The results of spectrum analysis and coarse alignment in inertial frame show that both methods can remove noise effectively. The data analysis shows that wavelet filter is better than FIR digital filter.
Keywords:disturbing base  coarse alignment in inertial frame  spectrum analysis  FIR digital filter  wavelet filter  de-noising
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