[1]刘清.基于小波消噪的传感器动态补偿方法[J].南京师范大学学报(工程技术版),2004,04(02):033-36.
　LIU Qing.Dynamic Compensation Method for Sensor Based on Denoising by Wavelet Decomposition[J].Journal of Nanjing Normal University(Engineering and Technology),2004,04(02):033-36.
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基于小波消噪的传感器动态补偿方法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
04卷
期数:
2004年02期
页码:
033-36
栏目:
出版日期:
2004-06-30

文章信息/Info

Title:
Dynamic Compensation Method for Sensor Based on Denoising by Wavelet Decomposition
作者:
刘清
南京师范大学数学与计算机科学学院 江苏南京210042
Author(s):
LIU Qing
School of Mathematics and Computer Science, Nanjing Normal University, Nanjing 210042, China
关键词:
传感器;  动态补偿;  辨识;  噪声;  小波分析
Keywords:
sensor;  dynamic compensation;  system identification;  noise;  wavelet
分类号:
TP212.6
摘要:
在利用传感器进行动态测量时 ,为了得到精确的测量结果 ,需要对传感器进行动态补偿 ,补偿环节可以通过系统辨识得到 .由于测量噪声的存在 ,会使得辨识得到的补偿环节存在一定误差 ,影响到测量系统的精度 .利用小波分析的方法可以对传感器输出信号进行滤波消噪 .利用消噪后的信号 ,通过系统辨识方法建立传感器动态特性的补偿环节 .仿真研究表明 ,采用该方法可以克服测量噪声对传感器动态补偿环节的影响
Abstract:
It is necessary to compensate for the dynamic measurement‘ s error when using the sensor for dynamic measurement in order to get accurate results. The mathematic model of compensation block can be established by system identification. How ever, the presence of measurement noises could cause certain error in system identification, thus decreasing the accuracy of the measurement. To solve this problem, the output signal of the sensor with additive noises were decomposed, denosied and recon structed by wavelet analysis. The simulation study showed that the approach could minimized the influences of noises.

参考文献/References:

[ 1] 雷敏, 王志中, 马勤弟, 等. 薄膜热电偶的动态特性及动态补偿研究[ J] . 计量学报, 1997, 20( 3) : 182 -186.
[ 2] Almeida L A L l d, Deep G S, Lima A M N. Nonlinear In verse Filter for Measurement of Thermal Hysteretic[ A] . Pro ceedings of the 19th IEEE-IMTC[ C] . 2002. 1419- 1423.
[ 3] 徐科军, 朱志能, 苏建徽, 等. 传感器动态非线性的一种补偿方法[ J] . 仪器仪表学报, 2002, 23( 3) : 278 282.
[ 4] 徐科军, 张颖, 张崇巍. 腕力传感器动态补偿-研究[ J] . 计量学报, 1997, 18( 4) : 116 -121.
[ 5] 边润强, 陈增强, 袁著祉. 基于系统补偿和遗传算法的动态测量方法[ J] . 控制理论与应用, 2000, 17( 4) : 548- 552.
[ 6] Hietanen P, Neuvo Y. FIR-median hybrid filters with predic tive FIR substructures[ J] . IEEE Trans Acoust Speech Signal Processing , 1988, 36( 5) : 892- 899.

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目( 60202012) .
作者简介: 刘清( 1962- ) , 硕士, 副教授, 主要从事智能控制与现场总线测控系统的教学与研究. E-mail : njnulq@ 163. com
更新日期/Last Update: 2013-04-29