针对当前激光雷达回波信号降噪在过程中易去除有价值信号,出现信号失真问题,提出基于改进经验模态分解的激光信号增强方法。采用小波分析的IMF分量去噪方法,为高频噪声分量的各层IMF分量赋予一个阈值,再叠加分量区间开展数据重组,去除高频噪声,保存低频有价值信号,实现有价值信号和噪声的准确分离,通过峰值检测设置阀值过滤掉回波信号噪声,提升回波信号的信噪比。结果表明,该方法具有较强的去噪性能,有效过滤了高频噪声,准确采集到有价值的回波信号。 In view of the current laser radar echo signal noise reduction in the process of easy removal of valuable signals, signal distortion problems, based on improved empirical mode decomposition of laser signal enhancement method. The IMF component denoising method based on wavelet analysis is used to assign a threshold value to the IMF components of each layer of high-frequency noise components. Then, data recombination is carried out in overlapping intervals to remove high-frequency noise and preserve low-frequency valuable signals to realize valuable signals and noise Accurate separation, setting the threshold value through peak detection Filter out the echo signal noise, improve the signal-to-noise ratio of the echo signal. The results show that this method has strong denoising performance, effectively filters high frequency noise and accurately collects valuable echo signals.