基于改进小波阈值去噪法处理Langmuir 探针信号

doi:10.16568/j.0254-6086.201604002

核聚变与等离子体物理 ›› 2016, Vol. 36 ›› Issue (4): 297-302.DOI: 10.16568/j.0254-6086.201604002

基于改进小波阈值去噪法处理Langmuir 探针信号

佟为明，李鹏，陶宝泉，金显吉

(哈尔滨工业大学电气工程及自动化学院，哈尔滨 150001)

出版日期:2016-12-15 发布日期:2016-12-14
作者简介:佟为明(1964-)，男，黑龙江省宁安县人，博士，教授，博士研究生导师，主要从事等离子体电磁控制技术、现场总线技术及其应用、电气智能化技术等方面的研究。
基金资助:
国家国际科技合作专项(2011DFR70910)

Data processing of Langmuir probe based on improved wavelet denoising method

TONG Wei-ming, LI Peng, TAO Bao-quan, JIN Xian-ji

(School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001)

Online:2016-12-15 Published:2016-12-14
Supported by:
国家国际科技合作专项(2011DFR70910)

摘要/Abstract

摘要：

在分析软硬阈值去噪特点的基础上，提出一种改进的小波阈值函数。根据Langmuir 探针I-V 特性曲线的特点，提出一种改进的标准差估算方法来计算小波阈值。采用基于改进标准差和改进阈值函数的小波对探针特性曲线进行去噪，仿真结果表明，改进的方法取得了良好的去噪效果，提高了信号的信噪比，降低了均方误差，去噪效果优于传统阈值去噪方法。

关键词: Langmuir 探针, 小波, 去噪, 标准差

Abstract:

An improved threshold function is proposed with the characteristics analysis of soft and hard threshold denoising methods. Based on the characteristics of I-V curve of Langmuir probe, an improved standard deviation estimating method is introduced to calculate the wavelet threshold. Denoisng the characteristic curve with improved threshold function and threshold, and the simulation results show that, the improved denoising method preformed well, the signal noise ratio is improved and the root mean square error is reduced. The denosing effectiveness is better than traditional threshold method.

Key words: Langmuir probe, Wavelet, Denoising, Standard deviation

中图分类号:

TP391

佟为明，李鹏，陶宝泉，金显吉. 基于改进小波阈值去噪法处理Langmuir 探针信号[J]. 核聚变与等离子体物理, 2016, 36(4): 297-302.

TONG Wei-ming, LI Peng, TAO Bao-quan, JIN Xian-ji. Data processing of Langmuir probe based on improved wavelet denoising method[J]. NUCLEAR FUSION AND PLASMA PHYSICS, 2016, 36(4): 297-302.

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基于改进小波阈值去噪法处理Langmuir 探针信号

Data processing of Langmuir probe based on improved wavelet denoising method

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