| 郭英歌,陈晶晶,邹彬彬,王润田.利用自适应噪声抵消消除工频脉冲干扰仿真[J].声学技术,2015,34(4):342~346 |
| 利用自适应噪声抵消消除工频脉冲干扰仿真 |
| The simulation of using adaptive noise cancellation to eliminate power pulse interference |
| 投稿时间：2014-11-11 修订日期：2015-03-20 |
| DOI：10.16300/j.cnki.1000-3630.2015.04.010 |
| 中文关键词: 自适应噪声抵消 最小均方算法 归一化最小均方算法 工频脉冲干扰 |
| 英文关键词: adaptive noise cancellation least mean square algorithm normalized least mean square algorithm power pulse interference |
| 基金项目: |
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| 中文摘要: |
| 介绍一种将自适应噪声抵消算法应用于消除周期性工频脉冲干扰的方法。该方法利用周期sinc函数仿真工频脉冲干扰信号, 与白噪声叠加作为参考输入, 利用最小均方(Least Mean Square, LMS)算法与归一化最小均方(Normalized Least Mean Square, NLMS)算法进行自适应噪声抵消滤波仿真实验。MATLAB仿真处理结果显示, 在无增益、增益饱和、增益过饱和这三种情况下, 当信噪比为3 dB时, 分别用LMS算法与NLMS算法滤波后可以清晰地分辨多次回波。 |
| 英文摘要: |
| This paper describes a way of using adaptive noise cancellation to eliminate periodic power pulse interference and others. The method takes periodic sinc(x)=sinc(πx)πx pulse signal, which simulates periodic power pulse interfering signal, with white noise as the reference input. The LMS algorithm and NLMS algorithm are used for the simulation of eliminating noise. In the three conditions of no gain, gain saturation and gain oversaturation, the outputs of MATLAB simulations for the input SNR of 3dB show that after using LMS algorithm and NLMS algorithm filtering, multiple echoes can be distinguished clearly. |
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