数字超声波信号中有色噪声的自适应滤波

崔园园; 王伯雄; 柳建楠; 王浩源

doi:10.3788/OPE.20142212.3377

您当前的位置：

首页 >

文章列表页 >

数字超声波信号中有色噪声的自适应滤波

信息科学 | 更新时间：2020-08-13

- 数字超声波信号中有色噪声的自适应滤波
- Adaptive filtering for colored noise in digital ultrasonic signals
- 光学精密工程 2014年22卷第12期页码：3377-3383
- 作者机构：
  
  清华大学精密仪器系精密测试技术及仪器国家重点实验室北京,100084
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目(No.11274199)()
- DOI：10.3788/OPE.20142212.3377
  中图分类号： TH814.92
- 收稿日期：2014-05-29，
  
  修回日期：2014-07-21，
  
  纸质出版日期：2014-12-25
- 稿件说明：
移动端阅览
崔园园, 王伯雄, 柳建楠等. 数字超声波信号中有色噪声的自适应滤波[J]. 光学精密工程, 2014,22(12): 3377-3383

CUI Yuan-yuan, WANG Bo-xiong, LIU Jian-nan etc. Adaptive filtering for colored noise in digital ultrasonic signals[J]. Editorial Office of Optics and Precision Engineering, 2014,22(12): 3377-3383
崔园园, 王伯雄, 柳建楠等. 数字超声波信号中有色噪声的自适应滤波[J]. 光学精密工程, 2014,22(12): 3377-3383 DOI： 10.3788/OPE.20142212.3377.

CUI Yuan-yuan, WANG Bo-xiong, LIU Jian-nan etc. Adaptive filtering for colored noise in digital ultrasonic signals[J]. Editorial Office of Optics and Precision Engineering, 2014,22(12): 3377-3383 DOI： 10.3788/OPE.20142212.3377.

摘要

针对测试环境中常存在的超声波频段的有色干扰噪声

设计了一种基于横向滤波器和最小均方误差自适应滤波算法的自适应对消器结构

并提出了固定步长和自适应步长相结合的自适应滤波算法流程.该方法增设了一个接收环境噪声的专用探头来自动跟踪噪声特性的改变

无需手动设置自适应滤波器参数和期望信号.通过自适应步长调整算法与固定步长方法结合

该方法能够在实现良好滤波效果的同时兼顾快速跟踪环境的变化.实验表明

提出的方法可以有效滤除目标超声波信号频带之外频率点处的有色干扰噪声

信噪比改善幅度可达16 dB;时间复杂度为

(

)

可实现实时处理.本文方法可以在无人工干预下自动、实时、有效地滤除与超声波信号频率接近的有色干扰噪声

已被成功地应用于气体超声波流量测量中.

Abstract

For colored interference noise in digital ultrasonic signals at ultrasonic frequency band

an adaptive canceller was designed based on a transversal filter and the least mean square adaptive filtering algorithm. An adaptive filtering algorithm was proposed combining the fixed and adaptive step lengths. The proposed method could track automatically the changes of noise characteristics by adding a special probe to receive the environment noise without manually setting the parameters and the expected signals of the adaptive filter. By combining adaptive step method and fixed step method

the proposed method has good tracking and steady-state properties. Experiment results show that proposed method filters effectively out the colored noise located outside the frequency band of the target ultrasonic signal in real time and the signal-to-noise has improved up to 16 dB and the time complexity is

(

). The method has been successfully applied to gas ultrasonic flow measurement and filters out the colored noise in real time automatically and effectively without the manual intervention.

关键词

Keywords

references

王鹏飞. 弯曲振动压电超声换能器机电耦合模型的研究[D]. 哈尔滨:哈尔滨工业大学,2013. WANG P F. Research on electromechanical coupling model of piezoelectric ultrasonic transducer working at bending vibration mode[D]. Harbin: Havin University of Science and Technology,2013. (in Chinese)

张金,崔园园,吴学伍,等. 基于时间放大技术的新型时间电压转换器[J]. 光学精密工程,2013,21(12): 3223-3230. ZHANG J, CUI Y Y, WU X W, et al.. Time to voltage converter based on time amplifiers [J]. Opt. Precision Eng., 2013,21(12): 3223-3230.(in Chinese)

尤政,杨冉,张高飞,等. 激光测距系统整形模块和低通滤波模块优化设计[J]. 光学精密工程,2013,21(10):2527-2533. YOU Z, YANG R, ZHANG G F, et al.. Optimization of shaping circuit and low-pass filter in laser ranging system [J]. Opt. Precision Eng., 2013,21(10): 2527-2533.(in Chinese)

CHAPA J O, RAO R M. Algorithms for designing wavelets to match a specified signal [J]. IEEE Transactions on Signal Processing, 2000, 48(12):3395-3406.

HAN X H, CHANG X M. An intelligent noise method for chaotic signals based on genetic algortithms and lifting wavelet transforms [J]. Information Science, 2013, 218(1):103-118.

LAZARO J C, SAN EMETERIO J L, RAMOS A, et al.. Influence of thresholding procedures in ultrasonic grain noise reduction using wavelets[J]. Ultrasonics, 2002, 40(1-8):263-267.

耿森林,尚志远,石焕文,等. 基于小波变换的激光超声信号处理[J]. 云南大学学报:自然科学版,2005,27(1):44-46,51. GENG S L, SHANG ZH Y, SHI H W. Laser ultrasound signal processing based on Wavelet Transform [J]. Journal of Yunnan University: Natural Sciences Edition, 2005,27(1):44-46,51. (in Chinese)

梁永麟.基于小波分析的超声波检测信号处理研究[D]. 广州:华南理工大学,2012. LIANG Y L. Research on ultrasonic signal processing based on wavelet analysis[D]. Guangzhou: South China University of Technology, 2012.

KARABOGA N, LATIFOGLU F. Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm [J]. Engineering Applications of Artificial Intelligence, 2013,26(2):677-684.

SABATINI A M. A digital-signal-processing technique for ultrasonic signal modeling and classification[C]. IEEE Transactions on Instrumentation and Measurement, 2001, 50(1):15-21.

余厚全,黄载禄,屈万里. 基于RLS算法的超声换能器温度压力特性校正[J]. 仪器仪表学报,1997,18(4):378-383. YU H Q,HUANG Z L,QU W L.Temperature and pressure characteristic correction of ultrasonic transducer based on RLS algorithm[J].Chinese Journal of Scientific Imstrument,1997,18(4):378-383.(in Chinese)

A1 BAE S, KIM J, UDPA L, et al.. A new adaptive grain noise cancellation filtering technique[J]. Review of Progress in Quantitative Nondestructive Evaluation of Materials, 1997, 17:759-66.

KIM J, UDPA L, UDPA S. Multi-stage adaptive noise cancellation for ultrasonic NDE[J]. NDT&E International, 2001, 34:319-328.

CARULLO A, FERRARIS F, GRAZIANI S, et al.. Ultrasonic distance sensor improvement using a two-level neural network[J]. NDT & E International,1997,30(5):326-330.

郭宁,吕俊伟,邓江生. 光电跟踪系统纯角度滤波器的设计[J]. 光学精密工程,2013,21(7): 1818-1824. GUO N, LV J W, DENG J S. Design of filter only by angle information in opto-electronic tracking system [J]. Opt. Precision Eng., 2013,21(7): 1818-1824.(in Chinese)

浏览量

296

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

采用自适应无迹卡尔曼滤波的卫星姿态确定

基于信息质量的脉冲星导航自适应滤波算法

动力调谐陀螺仪子空间辨识

低截获概率雷达信号检测方法的优化及应用

四旋翼飞行器中升力波动的干扰与抑制