[1]寇雪芹,谷立臣.塔机防碰撞系统中远距离超声信号消噪的研究[J].西安建筑科技大学学报:自然科学版,2014,46(04):598-603,614.[doi:10.15986/j.1006-7930.2014.04.026]
 KOU Xueqin,GU Lichen.Study of long-range ultrasonic signal denoising in the tower crane anti-collision system[J].J.Xi’an Univ. of Arch. & Tech.:Natural Science Edition,2014,46(04):598-603,614.[doi:10.15986/j.1006-7930.2014.04.026]
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塔机防碰撞系统中远距离超声信号消噪的研究()
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西安建筑科技大学学报:自然科学版[ISSN:1006-7930/CN:61-1295/TU]

卷:
46
期数:
2014年04期
页码:
598-603,614
栏目:
出版日期:
2014-08-31

文章信息/Info

Title:
Study of long-range ultrasonic signal denoising in the tower crane anti-collision system
文章编号:
1006-7930(2014)04-0598-06
作者:
寇雪芹谷立臣
(西安建筑科技大学机电工程学院,陕西 西安 710055)
Author(s):
KOU Xueqin GU Lichen
(School of Mechanical & Electrical Engineering, Xi’an Univ. of Arch. & Tech., Xi’an 710055China)
关键词:
超声回波远距离超声测量小波阈值消噪信噪比
Keywords:
ultrasonic echo long-range ultrasonic measurement wavelet threshold denoising SNR
分类号:
TN912.16
DOI:
10.15986/j.1006-7930.2014.04.026
文献标志码:
A
摘要:
根据塔机防碰撞系统远距离障碍物检测需要,针对远距离超声目标检测时,传统数字滤波对回波消噪后,回波峰值位 置有延迟以及远距离信噪比较低,影响目标的检测和测距准确度.提出利用小波改进的阈值函数消噪方法进行回波消噪.仿真和实验结果表明:基于改进阈值的超声回波消噪方法使回波峰值位置无延迟,可以明显提高信噪比,其 去噪效果优于传统的数字滤波和小波的软、硬阈值消噪方法,适用于远距离超声测量和目标有效检测.
Abstract:
According to the need of long-range obstacles detection in tower crane anti-collision system and for long-range ultrasonic target detection, after echo denosing by traditional digital filtering, there are delay of echo peak position and low signal to noise ratio (SNR) of long-range ultrasonic. These factors affect the accuracy of distance measurement and the target detection. Improved wavelet threshold function denoising method is proposed for echo denoising. Simulation and experimental results show that ultrasonic echo denoising based on improved threshold method makes ultrasonic echo peak position without delay, and can significantly improve the SNR. Its denoising effect is better than the traditional digital filtering and the wavelet soft and hard threshold denoising methods. This method is suitable for long-range ultrasonic measurement and effective detection of target.

参考文献/References:

[1] GU Lichen, JU Xiaotao, YAN Xiaole. Time delay estimation of long distance ultrasonic echoes based on model matching[C]//The Fifth Conference on Vibration Utilizing Engineering in China & The Fourth Workshop on Ultrasonic Motor Techniques in China, 2012.

[2] 廖勤武, 王朝立, 梅迎春. 基于超声的非完整移动机器人避障控制[J].上海理工大学学报, 2009, 31(4): 402-405.

LIAO Qinwu, WANG Chaoli, MEI Yingchun. Obstacle avoidance control for nonholonomic mobile robots based on ultrasonic sensors[J]. Journal of University of Shanghai for Science and Technology,2009,31(4): 402-405.

[3] 陈先中, 王伟, 张争等. 低噪声回波测距系统的电路设计与系统分析[J].北京科技大学学报, 2005, 27(4): 488-492.

CHEN Xianzhong, WANG Wei, ZHANG Zheng, et al. Design and analysis of the lower electronic noise circuit with a ultrasonic pulse echo ranging system[J].Journal of University of Science and Technology Beijing, 2005, 27(4) :488-492.

[4] 陈先中, 张争, 王伟. 大量程超声波回波测距系统的研究[J]. 仪器仪表学报, 2004, 25(4):179-182.

CHEN Xianzhong, ZHANG Zheng, WANG Wei. Study of long distance pulse echo system with ultrasonic ware[J]. Chinese Journal of Scientific Instrument,2004,25(4):179-182.

[5] TOMASZ J. Licznerski, Jarosław Jaroński, Dariusz Kosz. Ultrasonic system for accurate distance measurement in the air[J]. Ultrasonics, 2011, 51(8): 960-965.

[6] 潘泉, 张磊, 孟晋丽, 等. 小波滤波方法及应用[M].北京: 清华大学出版社, 2006.

PAN Quan, ZHANG Lei, MENG Jinli, et al. Wavelet filter method and application[M]. Beijing: Tsinghua University press, 2011.

[7] DONOHO D L, JOHNSTONE I M. Ideal spatial adaptation via wavelet shrinkage [J]. Biometrika, 1994, (81): 425 - 455

[8] DONOHO D L. Denoising by soft-threshold [J]. IEEE Trans on Information Theory, 1995, 41(3): 613-627.

[9] 陈 益, 李 书. 改进的小波阈值消噪法应用于超声信号处理[J]. 北京航空航天大学学报, 2006, 32(4): 466-470.

CHEN Yi, LI Shu. Application of improved threshold denoising based on wavelet transform to ultrasonic signal processing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006,32(4):466-470.

[10] GAO Hongye, BRUCE A G. Wave Shrink and semisoft shrinkage[R]. Sta Sci Research Report 1995, 39.

[11] 叶重元, 黄永东. 小波阈值去噪算法的新改进[J]. 计算机工程与应用, 2011, 47(12): 141-145.

YE Chongyuan, HUANG Yongdong. New improvement of wavelet threshold denoising algorithm[J]. Computer Engineering and Applications, 2011, 47(12): 141-145.

[12] 柳建楠, 刘文峰, 王伯雄, 等. 应用于超声测距的小波变换滤波算法[J]. 清华大学学报: 自然科学版, 2012,52(7):951-955.

LIU Jiannan, LIU Wenfeng, WANG Boxiong, et al. Wavelet denoising algorithm for ultrasonic ranging[J]. J Tsinghua Univ: Sci & Tech, 2012, ,52(7):951-955.

[13] Chen Hanxin, ZUO MingJ, WANG Xiaodong, et al. An adaptive morlet wavelet filter for time-of-flight estimation in ultrasonic damage assessment[J]. Measurement,2010,43(4):570-585.

[14] 寇雪芹, 谷立臣, 闫小乐, 等. 基于虚拟仪器的超声信号测量与测距研究[J]. 计算机工程与应用, 2012, 48(6):17-20.

KOU Xueqin, GU Lichen, YAN Xiaole, et al. Research on ultrasonic signal measurement and distance measurement based on virtual instrument[J]. Computer Engineering and Applications, 2012, 48(6): 17-20.

[15] 靳希, 杨尔滨, 赵玲. 信号处理原理与应用[M]. 北京: 清华大学出版社, 2008.

JIN Xi, YANG Erbin, ZHAO Ling. Signal processing principle & application [M]. Beijing: Tsinghua University press, 2008.

[16] CUI Huimin, ZHAO Ruimei, HOU Yanli. Improved threshold denoising method based on wavelet transform[J]. Physics Procedia, 2012,33: 1354-1359.

[17] 王拴中, 朱玉田. 改进小波阈值去噪法的对比性仿真实验与分析[J]. 噪声与振动控制, 2012(2): 128-132.

WANG Shuanzhong, ZHU Yutian. Comparative simulation study of evolutional wavelet based on denoising algorithms[J]. Noise and Vibration Control,2012(2):128-132.

[18] DEMIRLI R. Model based estimation of ultrasonic echoes: analysis, algorithms and application [D]. Graduate College of the Illinois Institute of Technology 2001.

备注/Memo

备注/Memo:
收稿日期:2013-11-05 修改稿日期:2014-07-25
基金项目:国家自然科学基金项目(50975218);陕西省教育厅专项基金项目(2013JK1011);西建大校青年基金项目(QN1019)
作者简介:寇雪芹(1978-),女,博士生,讲师,主要从事信号处理、信息融合方向的研究.E-mail:snow_kou78@163.com
更新日期/Last Update: 2015-10-06