摘要
针对面向目标跟踪的多无人机雷达协同航迹规划问题,给出了一种联合在线航迹优化和雷达功率分配方法。以最小化多目标跟踪总体估计误差的贝叶斯克拉美罗界为目标,推导出以雷达发射功率与无人机航向角为优化变量的决策函数,基于此建立面向多目标跟踪的多无人机雷达协同航迹规划模型。主要是通过在线优化调整控制参数,包括航向角和雷达功率资源的分配,以获得良好的跟踪性能结果。通过仿真算例分析性能,目标跟踪精度提升。
For the target tracking-oriented multi-UAV radar cooperative path planning problem,a joint online path optimization and radar power allocation(JOTPPA)method is presented.The Bayesian Cramér-Rao Lower Bound(BCRLB)that minimizes the overall estimation error of multi-target tracking is used as the optimization goal,and the decision function with the radar transmission power and the UAV’s heading angle as optimization variables is derived.On this basis,a multi-UAV radar cooperative path planning model for multitarget tracking is established.It is mainly through on-line optimization and adjustment of control parameters,including heading angle and radar power resource allocation,so as to obtain good tracking performance results.The performance is analyzed through simulation examples,and the target tracking accuracy is improved.
作者
李春霄
王冠绪
殷辉
戴金辉
严俊坤
Li Chunxiao;Wang Guanxu;Yin Hui;Dai JinHui;Yan Junkun(National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China;Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033,China)
出处
《战术导弹技术》
北大核心
2021年第6期30-37,共8页
Tactical Missile Technology
关键词
无人机
航迹规划
目标跟踪
雷达功率分配
贝叶斯克拉美罗界
unmanned aerial vehicle(UAV)
path planning
target tracking
radar power alloca-tion
Bayesian Cramér-Rao lower bound(BCRLB)
