一种基于参数自调整整系数滤波器的动态脉冲信号滤波新方法

Yongxin Chou, Benlian Xu, Ruilei Zhang, Yufeng Feng, Yi Jin
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引用次数: 4

摘要

动态脉冲信号的信噪比具有时变特性,影响了常用滤波方法的滤波效果。本文在整系数数字滤波器的基础上,提出了一种利用脉冲信号的平滑程度来调整滤波器参数的新方法。此外,本文提出的方法和常用的三种滤波方法:整数系数数字滤波、经验模态分解(EMD)滤波和形态滤波对仿真和测量脉冲信号中的噪声和干扰进行了抑制。结果表明,该方法能有效地抑制脉冲信号中的噪声和干扰,可用于脉冲信号的动态滤波。
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A novel filtering approach for dynamic pulse signal based on parameters self-adjusting integer-coefficients filter
The signal to noise ratio (SNR) of dynamic pulse signal is time-varying, which influence the results of common used filtering methods. On the basis of integer-coefficients digital filter, in this study, we proposed a new approach can adjust the parameters of filter by the smooth degree of pulse signal. Moreover, the proposed method and three common used filtering methods: integer-coefficients digital filter, empirical mode decomposition) (EMD) filter and morphological filter are employed to suppress the noise and interference in the simulated and measured pulse signals. The results show that the proposed method can suppress the noise and interference of pulse signal effectively and can be used in dynamic pulse signal filtering.
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