摘要
Geiger mode Avalanche Photo Diode(Gm-APD)激光成像雷达三维重构算法的目标检测率、目标还原度等受预处理影响较大,不适当的预处理会导致目标缺失,信噪比降低。预处理通常使用高斯函数或双高斯函数进行卷积,滤波函数中不合适的方差同样会导致目标复原度变低。针对此问题,分析双高斯函数预处理方差组合对探测概率的影响,同时通过Monte Carlo仿真,分析固定激光能量下,固定帧数、不同背景噪声的最佳方差组合变化。拟合得到不同背景噪声水平下的最佳方差模型。最后使用真实实验进行验证,方差模型求得的最佳方差组合可达到实际90%以上最佳目标还原度。该模型对于实际信号处理具有理论指导作用。
The target detection probability and target reduction degree of the three-dimensional reconstruction algorithm of Geiger mode Avalanche Photo Diode(Gm-APD)laser imaging radar are greatly affected by the preprocessing.Improper preprocessing will cause the target to be missing and reduce the signal-to-noise ratio.Preprocessing usually uses Gaussian function or double Gaussian function for convolution,and improper variance in the filter function will also lead to lower target restoration.To improve this problem,the influence of the double Gaussian function preprocessing variance combination on the detection probability was analyzed.Then,Monte Carlo simulation was used to analyze the best variance combination varies in different background noise under fixed laser energy and frame number.The best variance model was obtained by fitting.Finally,reality experiment was used for verification,and the best variance combination obtained by the variance model can reach more than 90%of the best target reduction degree of actual reality.This model has theoretical guidance for actual signal processing.
作者
马乐
陆威
姜鹏
孙剑峰(指导)
周鑫
刘迪
Ma Le;Lu Wei;Jiang Peng;Sun Jianfeng;Zhou Xin;Liu Di(National Key Laboratory of Science and Technology on Tunable Laser,Institute of Opto-Electronic,Harbin Institute of Technology,Harbin 150001,China;Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing 100074,China)
出处
《红外与激光工程》
EI
CSCD
北大核心
2020年第S02期131-136,共6页
Infrared and Laser Engineering
