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基于Morlet小波滤波提高系统参数识别精度的方法
引用本文:岳林,费庆国,张令弥.基于Morlet小波滤波提高系统参数识别精度的方法[J].南京航空航天大学学报(英文版),2005,22(3):206-211.
作者姓名:岳林  费庆国  张令弥
作者单位:[1]南京航空航天大学机电学院,中国南京210016 [2]南京航空航天振动工程研究所,中国南京210016
基金项目:国家自然科学基金(50075038)资助项目;总装备部武器装备预研基金资助项目;航空科学基金(00I52074)资助项目.
摘    要:提出了一种基于连续小波变换的时频域滤器对信号滤波,不会引起相波方法,用于频响函数估计前的信号预处理.采用Morlet小波构造一种FIR滤波位失真.提出了一种改进的小波基以满足瞬态激励情况的时频域分辨率要求.采用GARTEUR飞机模型构造仿真算例,对仿真数据添加白噪声.仿真结果表明,系统参数识别精度明显改善,滤波后获得的阻尼估计误差较滤波前下降了30%.

关 键 词:小波滤波  Morlet小波  频率响应函数  系统识别
收稿时间:06 15 2004 12:00AM
修稿时间:01 17 2005 12:00AM

IMPROVEMENT ACCURACY OF SYSTEM IDENTIFICATION BASED ON MORLET WAVELET
YUE Lin , FEI Qing-guo, ZHANG Ling-mi.IMPROVEMENT ACCURACY OF SYSTEM IDENTIFICATION BASED ON MORLET WAVELET[J].Transactions of Nanjing University of Aeronautics & Astronautics,2005,22(3):206-211.
Authors:YUE Lin  FEI Qing-guo  ZHANG Ling-mi
Institution:1. College of Mechanical and Electrical Engineering, NUAA, 29 Yudao Street, Nanjing,210016,P. R. China; 2. Institute of Vibration Engineering Research, NUAA, 29 Yudao Street, Nanjing, 210016,P. R. China
Abstract:A time frequency de-noising method is presented in the frequency response function (FRF) preprocessing based on the continuous wavelet transform. Morlet wavelet is employed to construct a filter bank to reduce the noise. The filter bank is a finite impulse response (FIR) linear phase filter thus maintaining phase consistency. A modified Morlet base function is proposed to meet the time frequency resolution by using transient excitation. Numerical simulation is conducted using a Group for Aeronautical Research and Technology in Europe (GARTEUR) aircraft model excited by the transient input. The white noise is added to the simulated data. Results show that the accuracy of the system identification is improved. The estimated error of the mode damping is decreased by 30% compared with that obtained from the noise-corrupted signal.
Keywords:wavelet filtering  Morlet wavelet  frequency response function  system identification
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