光子学报, 2016, 45 (7): 070701002, 网络出版: 2016-08-18   

Mie散射激光雷达回波信号小波去噪方法

De-noising Method for Mie Scattering Lidar Echo Signal Based on Wavelet Theory
作者单位
1 西安理工大学 机械与精密仪器工程学院, 西安 710048
2 中航电测仪器股份有限公司, 西安 710100
摘要
针对强背景光下, Mie散射激光雷达回波信号所含噪声的特点, 提出小波滤波消噪方法.该方法通过小波变换分离出背景光的直流部分, 并利用小波软阈值消除来自背景光的白噪声和探测系统的电噪声.为了验证该方法的有效性,提取并反演了Mie散射激光雷达系统实际探测得到的大气回波信号.反演结果显示有效探测距离从2.5 km提高到5 km, 表明该方法能够在白天背景下有效降低Mie散射激光雷达回波信号中的电噪声和背景光的噪声污染.
Abstract
According to the characteristics of Mie scattering lidar echo signal contaminated by noise in day background light, a de-noising method of wavelets was presented. The daylight direct current component was removed by wavelet transform, and the white noise from background light and electrical noise from detection system were reduced by wavelets soft threshold. To verify the feasibility of the de-noising method, Mie scattering atmospheric lidar echo signal was actually extracted and retrieved, the test results show that the effective detection range can be improved from 2.5 km to 5 km, and the contamination from electric noise and the background light noise can be reduced by the proposed method in measurement of experimentations.
参考文献

[1] 刘君.大气温度及气溶胶激光雷达探测技术研究[D].西安:西安理工大学, 2008.

    LIU Jun. Study of the lidar techniques for remote sensing of the atmospheric temperature and aerosol profiles[D]. Xi'an: Xi'an University of Technology, 2008.

[2] 卜令兵, 袁静, 高爱臻, 等. 基于激光云高仪的雾霾过程探测[J]. 光子学报, 2014, 43(9): 0901002.

    BU Ling-bing, YUAN Jing, GAO Ai-zhen, et al. Analysis of haze-fog events based on laser ceilometer [J]. Acta Photonica Sinica, 2014, 43(9): 0901002.

[3] 闫庆, 华灯鑫, 李仕春, 等. 微脉冲米散射激光雷达系统的产品化研发及实验观测研究[J], 量子电子学报, 2013,30(1):123-128.

    YAN Qing, HUANG Deng-xin, LI Shi-chun, et al. Observation and productization of the micro-pulsed Mie scattering lidar system[J]. Chinese Journal of Quantum Electronics 2013, 30(1): 123-128.

[4] DONOHO BDL. De-noising by soft-tresholding[J].IEEE Transactions on Information Theory, 1995, 41(3):612-627.

[5] 许舵, 沈国勤, 钱祖平. 基于EEMD方法的混合信号分离识别[J]. 军事通信技术, 2011,32(2):27-32.

    XU Duo, SHEN Guo-qin, QIAN Zu-ping. Research on separation for mixed signals based on ensemble empirical mode decomposition [J]. Journal of Military Communications Technology, 2011, 32(2): 27-32.

[6] 郑发泰, 华灯鑫, 周阿维. Mie散射激光雷达大气回波信号经验模式分解算法的研究与应用[J]. 中国激光, 2009, 36(5): 1068-1074.

    ZHENG Fa-tai, HUA Deng-xin, ZHOU A-wei. Empirical mode decomposition algorithm research &application of Mie lidar atmospheric backscattering signal [J].Chinese Journal Lasers, 2009, 36(5): 1068-1074.

[7] 王书涛, 李梅梅, 李盼, 等. 基于经验模态分解的SO2浓度检测信号处理方法[J]. 光子学报, 2014,43(2):0228002.

    WANG Shu-tao, LI Mei-mei, LI Pan, et al. Signal processing method based on empirical mode decomposition in the SO2 concentration monitoring [J]. Acta Photonica Sinica , 2014, 43(2): 0228002.

[8] 陈冬, 王江安, 康圣. 脉冲激光雷达信号降噪方法对比[J].舰船科学技术,2011,33(4):93-97.

    CHEN Dong, WANG Jiang-an, KANG Sheng. Comparison of backscattering lidar signal denoising methods[J]. Ship Science and Technology, 2011, 33(4): 93-97.

[9] FANG H T, HUANG D S. Noise reduction in lidar signal based on discrete wavelet transform [J]. Optics Communications, 2004, 233(s1-3):67-76.

[10] PALETI R, KUMAR Y B, CHAITANYA T K. Wavelet transform method for deriving atmospheric boundary layer height from lidar signals [J]. International Journal of Engineering & Technology, 2013, 5(2): 1465-1472.

[11] WERNER R, STEBEL K, HANSEN G H, et al. Application of wavelet transformation to determine wavelengths and phase velocities of gravity waves observed by lidar measurements [J]. Journal of Atmospheric and Solar-Terrestrial Physics, 2007, 69(17-18): 2249-2256.

[12] 吴冬梅.小波基下的多分辨率SURE阈值信号估计[J].西安科技大学学报,2005,25(3):345-348.

    WU Dong-mei. Signal estimation with multiresolution threshold using principle of SURE in wavelet basis[J].Journal of Xi'an University of Science and Technology, 2005, 25(3): 345-348.

[13] 殷明, 白瑞峰, 邢燕,等. 基于非下采样双树复小波域的双变量模型去噪算法[J]. 光子学报, 2014, 43(2):1010004.

    YIN Ming, BAI Rui-feng, XIN Yan, et al. De-noising algorithm by non-sub-sampled dual-tree complex wavelet domain bivariate model[J]. Acta Photonica Sinica, 2014, 43(2): 1010004.

[14] BROOKS I M. Finding boundary layer top: application of wavelet covariance transform to lidar backscatter profiles [J]. Journal of Atmospheric & Oceanic Technology, 2003, 20(8): 1092-1105.

[15] 张改霞,赵曰峰,张寅超,等. 激光雷达白天探测大气边界层气溶胶[J].物理学报,2008,57(11):7390-7395.

    ZHANG Gai-xia, ZHAO Yue-feng, ZHANG Yin-chao, et al. A lidar system for monitoring planetary boundary layer aerosol in daytime[J]. Acta Phsica Sinica, 2008, 57(11): 7390-7395.

[16] 赵松, 江汉红,张朝亮, 等. 基于改进小波阈值函数的雷达信号去噪[J]. 兵工自动化, 2011,30(7): 1-4.

    ZHAO Song, JIANG Han-hong, ZHANG Chao-liang, et al. Radar signal denoising based on improved wavelet thresholding functions[J]. Ordnance Industry Automation, 2011, 30(7): 1-3.

[17] 毛建东,华灯鑫,王玉峰,等.基于小波包分析的激光雷达信号消噪算法的研究[J].中国激光,2011,38(2): 0209001.

    MAO Jian-dong, HUA Deng-xin, WANG Yu-feng, et al. Noise reduction in lidar signal based on wavelet packet analysis[J]. Chinese Journal of Lasers, 2011, 38(2): 0209001.

[18] 秦亚辉,冯景辉,陈立定.基于小波变换的信号去噪方法研究[J].信息技术,2010,1:53-57.

    QIN Ya-hui, FENG Jing-hui, CHEN Li-ding. Study of signal de-noising methods based on wavelet transform[J].Information Technolog, 2010, 01: 53-57.

周智荣, 华灯鑫, 杨蓉, 闫庆, 陈浩, 宋跃辉. Mie散射激光雷达回波信号小波去噪方法[J]. 光子学报, 2016, 45(7): 070701002. ZHOU Zhi-rong, HUA Deng-xin, YANG Rong, YAN Qing, CHEN Hao, SONG Yue-hui. De-noising Method for Mie Scattering Lidar Echo Signal Based on Wavelet Theory[J]. ACTA PHOTONICA SINICA, 2016, 45(7): 070701002.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

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!