运动条件下光子计数激光测距系统点云数据的处理
发布时间：2018-07-25 11:45
【摘要】：研究了运动条件下光子计数激光测距系统的探测机制,分析了该系统在数据处理中涉及到的回波光子信号的统计特性、探测概率等理论问题。针对运动条件下的测距背景,根据该系统的回波信号特点,基于Matlab产生了符合统计分布规律的包含目标回波和噪声回波的仿真信号。在对泊松滤波算法等传统数据处理算法进行研究的基础上,提出了一种改进的基于栅格滤波的算法,并利用该算法对仿真回波数据进行了处理,最终有效滤除了随机分布于整个探测空间的噪声信号,获得了目标的运动轨迹。与传统的数据处理算法相比,该算法对运动条件下的光子计数激光测距数据具有良好的处理效果。
[Abstract]:The detection mechanism of photon counting laser ranging system under moving conditions is studied. The statistical characteristics and detection probability of the echo photon signal involved in data processing of the system are analyzed. According to the background of ranging under moving conditions and according to the characteristics of echo signal of the system, a simulation signal including target echo and noise echo is generated based on Matlab. Based on the study of traditional data processing algorithms such as Poisson filtering algorithm, an improved raster filtering algorithm is proposed, and the simulated echo data is processed by the algorithm. Finally, the noise signals distributed randomly throughout the detection space are filtered effectively, and the moving track of the target is obtained. Compared with the traditional data processing algorithm, the algorithm has a good effect on the photon counting laser ranging data under moving conditions.
【作者单位】： 中国科学院上海技术物理研究所;
【基金】：中国科学院国防预研基金项目(CXJJ-14-S133)
【分类号】：P225.2
，
本文编号：2143723
[Abstract]:The detection mechanism of photon counting laser ranging system under moving conditions is studied. The statistical characteristics and detection probability of the echo photon signal involved in data processing of the system are analyzed. According to the background of ranging under moving conditions and according to the characteristics of echo signal of the system, a simulation signal including target echo and noise echo is generated based on Matlab. Based on the study of traditional data processing algorithms such as Poisson filtering algorithm, an improved raster filtering algorithm is proposed, and the simulated echo data is processed by the algorithm. Finally, the noise signals distributed randomly throughout the detection space are filtered effectively, and the moving track of the target is obtained. Compared with the traditional data processing algorithm, the algorithm has a good effect on the photon counting laser ranging data under moving conditions.
【作者单位】： 中国科学院上海技术物理研究所;
【基金】：中国科学院国防预研基金项目(CXJJ-14-S133)
【分类号】：P225.2
，
本文编号：2143723
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