论文部分内容阅读
提出了一种基于连续小波变换的时频域滤波方法,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滤波器对信号滤波,不会引起相位失真。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%。
A time-frequency domain filtering method based on continuous wavelet transform is proposed for signal preprocessing before frequency response function estimation. Morlet wavelet constructs an FIR filter to filter the signal without causing phase distortion. An improved wavelet base is proposed to meet the requirements of time-frequency domain resolution for transient excitation. The GARTEUR aircraft model was used to construct a simulation study and white noise was added to the simulation data. The simulation results show that the identification accuracy of the system parameters is obviously improved, and the error of the damping estimation obtained after filtering is reduced by 30% compared with that before filtering.