Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noising technique

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• 作者：Zhirong Zhou ; Dengxin Hua ; ^{dengxinhua@xaut.edu.cn} ; Yufeng Wang ; Qing Yan ; Shichun Li ; Yan Li ; Hongwei Wang
• 关键词：Lidar ; Soft threshold ; Wavelet ; De-noising ; Background light
• 刊名：Optics and Lasers in Engineering
• 出版年：2013
• 出版时间：August, 2013
• 年：2013
• 卷：51
• 期：8
• 页码：961-966
• 全文大小：798 K

文摘

According to the characteristics of a Lidar echo signal contaminated by noise, especially in strong background light, an effective de-noising method of wavelets based on a soft threshold is proposed to reduce the Lidar echo signal noise and improve the signal to noise ratio of system. The principles and methods of wavelet transforms and wavelet de-noising are utilized to de-noise the noisy signals. Some preliminary simulations are carried out to reduce the noise of the simulated signals in order to verify the feasibility of the de-noising method. In addition, using experimental data of the Lidar echo signals contaminated by noise in the strong background light, the de-noising range-square-corrected signals and the retrieved aerosol extinction coefficient are obtained. The results show evidence of the de-noising effects and demonstrate that this method can effectively de-noise the noisy Lidar signals in strong background light and achieve improvement in the signal to noise ratio of system.