中国激光, 2004, 31 (s1): 276, 网络出版: 2013-01-29  

基于小波变换的提升机激光位置跟踪系统的信号处理

Signal Process of Laser Location-Tracking System for Hoist Based on Wavelet Transform
作者单位
1 中国科学院安徽光学精密机械研究所, 安徽 合肥 230031
2 安徽理工大学电气工程系, 安徽 淮南 232001
摘要
提升机位置跟踪系统可用工作在红外波段的激光,测量″调制光波″往返于被测距离上相位差的方法来测定距离.由于信号中含有噪声,因此通过小波变换来实现提升机测距信号的信号处理,利用信号和噪声在不同尺度的小波变换下呈现特性相反,采用阈值方法消除噪声,重构真实信号.该系统能极其准确地显示提升机的实际位置,提高了距离测量的精度.通过MATLAB软件进行仿真,实现了激光位置跟踪信号的数据处理,以及对提升机位置和速度的数字化控制.
Abstract
The Tracking system can measure the traveling distance with the laser working in infra-red wave band by measuring the phase difference with modulated light wave shuttling the measured distance. Since noise contained signal process of the hoist's distance measuring is realized by wavelet transform. Based on different properties of noise and the signal working in different scale, noise can be eliminated by consulting the threshold value, after that real signal will be reconfigured. This system can improve the precision of distance measure by showing the hoist's real location exactly. Date process of laser location-tracking signal can be realized by the simulating of MATLAB software. All in ail, this system can realize digital control of the riser's location and speed.
参考文献

[1] 徐佩霞, 孙功宪.小波分析与应用实例[Μ].北京: 中国科学技术大学出版社,2001

    Xu Peixia, Sun Gongxian. The Examples oi Gavelet Analyzing and application[M]. University of science & Technology of China Publishing company 2001

[2] 梁虹, 梁洁,陈跃斌.信号与系统分析及MATLAB实现[М].北 京: 电子工业出版社, 2000

    Liang Hong, Liang Jie, Chen Yuebin. Using MATLAB for Digital Signal and Imaging Processing [М]. Beying: Publishing House of Electronics Industry, 2000. Chapter5

[3] 周孟然.基于红外激光定位技术的矿井提升机位置跟踪系统的研 究[J].煤炭学报, 2002, 27(6): 658~660

    Zhou Mengran. Study of coal mine lift tracking system based on infra-red ray orientation technique [J]. J. China Coal Society, 2002.27(6),658-660

[4] D. L Donoho. De-noising by soft-thresholding [J]. IEEE. Trans, on IT, 1995, 41(3):613-627

[5] R D. Nowak, R G. Baraniuk. Wavelet-domam filtering for photo imaging systems[J]. IEEE Trans, on IT, 1999, 45(5): 666-678

[6] L Senhadji et al.. New applications of wavelet transformation[J]. Proc. IEEE/EMBS Annual Conf., 1992. 2592-2593

[7] O. Rioul et al.. Fast algorithm for discrete and continuous wavelet transform[J]. IEEE Trans, on IT, 1993, 39(2): 569-586

[8] S. Mallat et al.. Singularity detection and processing with waveletslJ]. IEEE Trans, on IT, 1992, 38(2): 617-643

[9] 赵瑞珍, 宋国乡.一种基于小波变换的白噪声消噪方法的改进[J]. 西安电子科技大学学报, 2002, 27(5): 619-622

    Zhao Ruizhen, Song Guoxiang. An improved method for white noise reduction based on wavelet transform[J]. Xidan University Xi'an Chinese, 2002,27(5),619-622

周孟然, 刘文清. 基于小波变换的提升机激光位置跟踪系统的信号处理[J]. 中国激光, 2004, 31(s1): 276. ZHOU Meng-rаn, LIU Wen-qing. Signal Process of Laser Location-Tracking System for Hoist Based on Wavelet Transform[J]. Chinese Journal of Lasers, 2004, 31(s1): 276.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!