计算机与数字工程2017，Vol.45Issue(8)：1523-1527,5.DOI:10.3969/j.issn.1672-9722.2017.08.014
UAV目标跟踪预测算法研究
Target Tracking and Forecasting Algorithm for UAV
摘要
Abstract
To solve the problems of target miss distance,which caused by the time delay during the communication in the UAV and the ground control station,firstly,an auxiliary variable particle filter tracking algorithm based on Meanshift sampling is used to track experiment. It adopts the AVPF as the main framework of the tracking algorithm,then the Meanshift is applied to cal-culate the offset of a few auxiliary particle and move them to the local optimum position of the observed values. Then based on the tracking result,Kalman filter is used to predict the target trajectory and the results in turn act on correcting the tracking results and solving the miss distance problem. The results show that having the prediction algorithm is closer to the true value and could satisfy the UAV target trajectory forecasting requirements.关键词
无人机/目标跟踪/均值偏移/辅助变量粒子滤波/Kalman滤波Key words
UAV/target tracking/meanshift/AVPF/Kalman filter分类
信息技术与安全科学引用本文复制引用
张鑫,邓雯..UAV目标跟踪预测算法研究[J].计算机与数字工程,2017,45(8):1523-1527,5.基金项目
国家自然科学基金项目(编号:21273100)资助. （编号:21273100）
