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激光云高测量去噪算法研究
引用本文:杨成武,刘文清,张玉钧.激光云高测量去噪算法研究[J].光散射学报,2012,24(1):98-103.
作者姓名:杨成武  刘文清  张玉钧
作者单位:1. 中国科学院安徽光学精密机械研究所环境与光学技术重点实验室,合肥230031;合肥电子工程学院,合肥230037
2. 中国科学院安徽光学精密机械研究所环境与光学技术重点实验室,合肥,230031
基金项目:公益性行业(气象)科研专项基金(GYHY200706023)
摘    要:针对激光雷达回波信号所含噪声的特点, 对比分析了传统去噪算法的优缺点, 重点就小波自适应阈值去噪方法和独立成分分析去噪方法进行了系统研究。为了验证这两种方法在激光云高测量信号去噪上的有效性和优劣性, 对包含高斯白噪声的模拟仿真信号进行了消噪, 并对半导体激光云高仪实际探测得到的大气回波信号进行了消噪处理, 最后对去噪结果进行了对比分析。仿真结果和实验结果表明, 这两种消噪方法均能够有效降低激光雷达回波信号中所含噪声, 并且独立成分分析消噪效果明显优于小波自适应阈值方法。

关 键 词:大气光学  去噪  快速独立成分分析  小波自适应阈值  激光雷达
收稿时间:2011/8/23

Study on Denoising Algorithm of Laser Ceilometer
YANG Cheng-wu , LIU Wen-qing , ZHANG Yu-jun.Study on Denoising Algorithm of Laser Ceilometer[J].Chinese Journal of Light Scattering,2012,24(1):98-103.
Authors:YANG Cheng-wu  LIU Wen-qing  ZHANG Yu-jun
Institution:1 (1.Key Lab of Environmental Optics and Technology,Anhui Institute of Optics and Fine Mechanics,CAS,Hefei 230031,China; 2.Electronic Engineering Institute of Hefei,Hefei 230037,China)
Abstract:According to the characteristic of lidar-return noise,analyzing and contrasting the merit and shortcoming of the traditional denoising method,it is focused on the study of wavelet adaptive threshold denoising and independent composition analysis denoising method.To verify the feasibility and superiority-inferiority of the two denoising methods,some numerical simulations are carried out to reduce the Gauss white noise of the simulated signal,and also,the laser diode ceilometer returns contaminated by noise are denoised by the two methods.Moreover,the comparisons are performed.Experiment results show that the two denoising methods are also capable of effectively reducing the lidar return noise and the denoising effect on independent composition analysis denoising method is better than the wavelet adaptive threshold denoising method.
Keywords:atmospheric optics  de-noising  fastICA  curvelet adaptive threshold  lidar
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