FENG Hao, SHI Xiao-dan, HUANG Xiao-min, ZHANG Zhi-jie
(Key Laboratory of Instrumentation Science & Dynamic Measurement (North University of China), Ministry of Education, Taiyuan 030051, China)
Abstract： A noise reduction method for infrared detector output signal is studied during dynamic calibration of thermocouple. Firstly, the deficiency of the classical filter method is analyzed and the application of the wavelet analysis is introduced for signal de-noising during the dynamic testing. Secondly, the theoretical basis of wavelet analysis, the choice of wavelet base and the determination of decomposed series and threshold are analyzed. Finally, the de-noising experiment for infrared detector signal is carried out on the Matlab platform. The results indicate the proposed wavelet de-noising method is effective to remove fixed frequency and high-frequency noise; furthermore, good synchronization is achieved between the de-noised signal and the useful signal components in the original signal, which is of great significance to thermocouple modeling analysis.
Key words： wavelet analysis; dynamic calibration; thermocouple; de-noising
CLD number： TN911.7 Document code： A
Article ID： 1674-8042(2014)03-0033-05 doi： 10.3969/j.issn.1674-8042.2014.03.007
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基于小波分解的信号去噪方法
冯浩， 石晓丹， 黄晓敏， 张志杰
（中北大学 仪器科学与动态测试教育部重点实验室， 山西 太原 030051）
摘要:本文对热电偶动态校准中红外探测器输出信号的去噪方法进行了研究。 首先分析了经典滤波器方法的不足， 介绍了小波分析方法在动态测试信号降噪中的应用。 接着讨论了小波分析的理论基础以及小波基的选择、 分解级数和阈值的确定。 最后在Matlab平台下对红外探测器信号进行了去噪实验。 实验结果表明， 该方法有效去除了固定频率噪声和高频噪声， 去噪后信号与原始信号中有用信号成分是同步的， 这对于热电偶的建模分析具有重要意义。
关键词:小波分解； 动态测试； 热电偶； 去噪
引用格式：FENG Hao, SHI Xiao-dan, HUANG Xiao-min, et al. Signal de-noising method based on wavelet decomposition. Journal of Measurement Science and Instrumentation, 2014, 5(3): 33-37. [doi: 10.3969/j.issn.1674-8042.2014.03.007]
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