信号时域平均处理中的若干问题探讨

Discussion on Signal Averaging in Time Domain

时域平均处理是从混有噪声的复杂周期信号中提取感兴趣周期分量的有效方法。在详细讨论时域平均方法抑制非感兴趣周期分量原理的基础上，探讨了离散序列时域平均时截取长度误差对平均结果的影响，提出了一种时域平均合理截取段数的确定方法。通过工程实例说明了合理平均段数提出的必要性和使用的可行性。

Time domain averaging(TDA) is an effective method to extract the wanted periodic components from a compound periodic signal mixed with noise. On the basis of detailed discussion of the principle of suppressing unwanted periodic components via TDA,this paper shows the influence of discrete time series cutting error on the result of TDA;and a method to determine the reasonable number of averaging periods is presented.A practical example shows the necessity and feasibility of the presented method.