Lidar signal denoising based on wavelet domain spatial filtering

Abstract

Lidar is an effective tool for remotely monitoring target or objects, but the lidar signal is often affected by various noises or interferences. Therefore, detecting the weak signals buried in noises is a fundamental and important problem in the lidar systems. In this paper, an effective noise reduction method based on the wavelet domain spatial filtration is presented to denoise lidar signal. This method can effectively detect the edge of lidar signal and reduce noise. The performance of our method is investigated by detecting the simulating lidar signals in noise. The simulation results show that our approach performs well in identifying the edge of signal and detecting weak lidar signal buried in noises.