Application of empirical mode decomposition in atmospheric echo processing of lidar
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摘要: 为了提高激光大气回波处理的时效性,采用了经验模式分解方法,分析了经验模式分解的原理,研究了经验模式分解在激光雷达大气回波信号实时处理中的应用。进行了理论分析与仿真验证,取得了经验模式分解和100次信号平均处理后的结果,并进行了比较。结果表明,经验模式分解处理后的重构信号与100次信号平均结果接近,相关系数为0.99,同时处理时间缩短为1%,可以满足某些情况下的实时处理要求,并且能够抑制回波中一些薄云的干扰。这一结果对激光雷达大气回波信号实时处理是有帮助的。Abstract: In order to improve the efficiency of atmospheric signal processing of lidar,the theory of empirical mode decomposition was analyzed and the application of empirical mode decomposition in real-time processing of atmospheric echo signal was studied.The reconstruction signal after empirical mode decomposition processing is close to the signal after 100 singnals average and their correlation coefficient is 0.99 and the processing time can be decreased to 1%,which may meet the requisition of real-time processing and can restrain the interference of some thin cloud.This result will give help to real-time processing of lidar echo.
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Keywords:
- laser technique /
- empirical mode decomposition /
- lidar /
- signal-to-noise ratio
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