基于经验模态分解的超声波管外测压信号去噪  

An EMD-based signal de-noising method for ultrasonic pressure measurement outside pipeline

作　　者：孙凌逸[1] 黄先祥[1] 蔡伟[1] 杨志勇[1] 

机构地区：[1]第二炮兵工程学院兵器发射理论与技术国家重点学科实验室,西安710025

出　　处：《声学技术》2011年第5期427-431,共5页Technical Acoustics

摘　　要：在超声波管外测压中,回波信号往往受到噪声的干扰,所以在提取信号特征时,需对回波信号进行去噪。提出了一种基于经验模态分解(EMD)的超声波信号去噪方法,首先利用EMD求出信号的本征模态函数(IMF),然后通过对比分析,利用反映信号主要特征的模态分量对信号进行重构以实现去噪。实验结果表明,该方法能够有效地去除噪声,提高超声回波信号的信噪比。In ultrasonic pressure measurement outside pipeline,echo signal is disturbed by electronic noise,structure noise and so on.Before analysis,the ultrasonic echo signal should be de-noised to get better results.In this paper,a de-noising method of ultrasonic signal based on empirical mode decomposition（EMD） is proposed.Firstly,the original ultrasonic signal is decomposed into a finite number of intrinsic mode functions（IMF） by EMD,then the modes re-flecting the important features of the signal are combined together to reconstruct the de-noised signal.The experimental results show that this method has better performance in removing the noise and enhancing the signal-to-noise ratio（SNR） of ultrasonic echo signal.

关 键 词：经验模态分解 超声波 管外测压 去噪 

分 类 号：TB556[理学—物理]