基于EMD及FFT的激光雷达回波去噪算法

摘要：激光雷达回波去噪是激光回波处理的重要环节，好的去噪算法可以有效的减少信息的损失以及失真，并且可以有效的去除噪声带来的影响。经验模式分解将时域信号分解为几个不同频带尺度的时域信号分量，简单的舍弃噪声层以及过渡层会导致有效信号的损失。通过一种基于经验模式分解及傅里叶变换的激光雷达回波去噪算法，选取特定的固有模态函数并作傅里叶处理，以此来提高去噪的准确性，通过实际数据验证了其合理性与有效性。

The LiDAR Echo Denoising Algorithm based on EMD and FFT

Abstract:The LiDAR echo denoising is an important part of the whole process,a good denoising algorithm can reduce the loss and distortion effectively.Empirical Mode Decomposition(EMD) decomposes the signal into several components in different time domains and different band scales,if we directly abandons the component of noise and transitional IMF and in this way the effective information will lose.By using a denoising algorithm based on the EMD and Fourier Transform(FFT),we choose the specific Intrinsic Mode Function(IMF) and process it with FFT to improve the final accuracy and precision.By processing the real data,it is proved to be fair and effective.