激光云高测量去噪算法研究

针对激光雷达回波信号所含噪声的特点, 对比分析了传统去噪算法的优缺点, 重点就小波自适应阈值去噪方法和独立成分分析去噪方法进行了系统研究。为了验证这两种方法在激光云高测量信号去噪上的有效性和优劣性, 对包含高斯白噪声的模拟仿真信号进行了消噪, 并对半导体激光云高仪实际探测得到的大气回波信号进行了消噪处理, 最后对去噪结果进行了对比分析。仿真结果和实验结果表明, 这两种消噪方法均能够有效降低激光雷达回波信号中所含噪声, 并且独立成分分析消噪效果明显优于小波自适应阈值方法。

Study on Denoising Algorithm of Laser Ceilometer

According to the characteristic of lidar-return noise,analyzing and contrasting the merit and shortcoming of the traditional denoising method,it is focused on the study of wavelet adaptive threshold denoising and independent composition analysis denoising method.To verify the feasibility and superiority-inferiority of the two denoising methods,some numerical simulations are carried out to reduce the Gauss white noise of the simulated signal,and also,the laser diode ceilometer returns contaminated by noise are denoised by the two methods.Moreover,the comparisons are performed.Experiment results show that the two denoising methods are also capable of effectively reducing the lidar return noise and the denoising effect on independent composition analysis denoising method is better than the wavelet adaptive threshold denoising method.