摘要
为提高"战术隐身"和"静默攻击"环境下目标的可观测性和跟踪定位精度,研究并完成了基于滚动时域优化(RHO)的纯方位角被动测量的UAV协同最优目标跟踪问题。对于双机协同最优跟踪的情况,观测UAV的空间相对布局对于被动定位与跟踪的质量起着极为重要的作用,采用最优控制的思想求取最优估计的控制量,实时调整UAV的航向,达到最优目标跟踪,并进行了仿真验证,结果证明了该方法的有效性。
To improve the observability and locating precision of targets under electronic silence and tactic invisibility,the optimal passive target tracking by multiple Unmanned Aerial Vehicles （UAVs） using Receding Horizon Optimization （ RHO） was studied.With respect to optimal tracking by dual cooperative UAVs,the spacial layout of the UAVs has great effect on the quality of passive target locating and tracking .To realize the optimal target tracking,the RHO was used to obtain the optimal control solution,and the headings of UAVs were adjusted in real time .Simulation results demonstrate the effectiveness of this method .
出处
《电光与控制》
北大核心
2014年第8期33-36,共4页
Electronics Optics & Control
基金
航空基金(2011ZC13001)
关键词
目标跟踪
滚动时域优化
无人机
信息熵
协同控制
target tracking
moving horizon optimization
UAV
information entropy
synergetic control
