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基于经验模态分解的火炮动态姿态测量研究
引用本文:王华颖,李硕,韩崇伟,王玮.基于经验模态分解的火炮动态姿态测量研究[J].火炮发射与控制学报,2009(1).
作者姓名:王华颖  李硕  韩崇伟  王玮
作者单位:西北机电工程研究所,陕西咸阳,712099
摘    要:为了解决火炮动态姿态测量问题,提出了基于经验模态分解(EMD)的动态姿态信号滤波方法,将非平稳信号分解为不同特征尺度上的分段固有模态函数(IMF),而这些IMF体现了信号能量在时间、空间等各种尺度上的分布规律,从而构造了时间尺度滤波,从分解后的各IMF中Hilbert谱分析寻找有用的信息,结合信号ⅡR数字滤波技术进行重构来消除信号中的干扰,实时获得真实姿态角。通过对实测的姿态响应信号进行分析及计算机仿真结果表明,该方法可行有效。

关 键 词:信息处理技术  姿态信号  经验模态分解  Hilbert变换  ⅡR数字滤波技术

Research on Gun Attitude Measurement Based on Empirical Mode Decomposition
WANG Hua-ying,LI Shuo,HAN Chong-wei,WANG Wei.Research on Gun Attitude Measurement Based on Empirical Mode Decomposition[J].Gun Launch & Control Journal,2009(1).
Authors:WANG Hua-ying  LI Shuo  HAN Chong-wei  WANG Wei
Affiliation:Northwest Institute of Mechanical & Electrical Engineering;Xianyang 712099;Shaanxi;China
Abstract:In order to resolve the problem of dynamic attitude measurement,a kind of dynamic attitude signal filtering method based on empirical mode decomposition(EMD) was proposed. The nonstationary signal was decomposed into limited number of intrinsic mode function (IMF) in different features and scales,these IMF contain distribution law and instantaneous features of signal energy on a series of scales in time and space. Then a time scale filter was constructed. With the help of Hilbert analysis of each IMF decomp...
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