中文摘要：

交叉证认技术改进了基于经验模态分解（EMD）的激光雷达回波信号降噪方法。该方法在对激光雷达回波信号噪声特性和经典降噪方法缺陷进行研究的基础上,利用交叉证认技术自适应地识别雷达回波信号中的信号层和噪声层,再通过经验模态分解算法分离噪声和重构信号。通过仿真数据和实测雷达信号对比分析,该方法能够自适应地选择本征模函数中的信号层数,不但有效地滤除了各种随机噪声,而且保留了信号的有效信息特征,减少了信号损失,进而提高了后续数据处理的准确度。

英文摘要：

Noise reduction method of lidar atmospheric backscattering signal based on empirical mode decomposition（EMD）is developed by Cross-Validation.Considering characteristics of lidar return signal noise and defects of traditional de-noising algorithm,Cross-Validation is applied to identify signal layers and noise layers automatically,and then separate signal and noise by EMD reconstruction.With experiments,the method can select the signal in the instrinsic mode function adaptively,not only removes the random error,but also maintains the effective characteristics of the signal,reduces the loss of signal,and then improve the accuracy in the next phase of data processing.