摘要
运动目标位置探测是当前研究的热点问题,针对当前运动目标位置探测方法存在的精度低、速度慢等不足,以获得理想的运动目标位置探测结果为目标,提出基于激光雷达的运动目标位置探测方法。首先运动目标位置探测原理进行分析,找到运动目标位置探测结果不理想的因素,然后采用激光雷达得到运动目标的仰角与方位角,建立构建目标运动方程,然后引入机器学习算法建立运动目标位置探测模型,实现运动目标位置探测,最后进行了运动目标位置探测仿真实验,结果表明,本文方法的运动目标位置探测精度高,运动目标位置探测误差小于对比方法,而且运动目标位置探测时间短,加快了运动目标位置探测速度。
Moving target position detection is a hot issue in current research. Aiming at the shortcomings of low precision and slow speed of current moving target location detection methods,a moving target position detection method based on lidar is proposed to obtain ideal moving target position detection results. Firstly,the principle of moving target position detection is analyzed to find out the factors of unsatisfactory detection results. Then,the elevation angle and azimuth angle of the moving target are obtained by using lidar,and the target motion equation is established. Then,the machine learning algorithm is introduced to establish the moving target position detection model to realize the moving target position detection. Finally,the moving target position detection is carried out. The simulation results show that the proposed method has high detection accuracy,the detection error of moving target is smaller than the comparison method,and the detection time of moving target is short,which accelerates the detection speed of moving target.
作者
周冰冰
罗畅伟
万小翔
ZHOU Bingbing;LUO Changwei;WAN Xiaoxiang(Jiangxi University of Technology,Nanchang 330098,China)
出处
《激光杂志》
CAS
北大核心
2021年第10期64-68,共5页
Laser Journal
基金
江西省教育厅科技项目(No.GJJ190996)。
关键词
运动目标
位置探测
激光雷达
运动方程
机器学习算法
仿真实验
moving target
position detection
lidar
motion equation
machine learning algorithm
simulation experiment
作者简介
周冰冰(1981-),男,硕士,副教授。
