Research on pure azimuth passive positioning of UAV based on iterative algorithm

Guo Hong, Huibing Yang, Jing Sun, Jiahui Zhang, Mente Wang, Jiaxiang Fang
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Abstract

When the UAV cluster is attempting formation flight, electromagnetic silence should be maintained as much as possible to avoid external interference, and few electromagnetic wave signals should be emitted outward. In order to maintain the formation, a purely azimuthal passive positioning method is proposed to adjust the position of UAVs. In order to reduce the deviation of the UAVs from the ideal position, we first establish an optimization model by finding the closest position to the ideal coordinates of each receiving UAV under the constraint rule as the objective function, and use the signal UAV traversable coordinates as the constraint, establish an iterative optimization distance model, and use the traversal algorithm and iterative algorithm to find out the ideal position of the UAV under the constraint, and finally be able to reduce the total actual deviation of the UAV to about 0.159 m.
基于迭代算法的无人机纯方位被动定位研究
当无人机集群尝试编队飞行时,应尽可能保持电磁沉默,避免外界干扰,尽量少向外发射电磁波信号。为了保持编队,提出了一种纯方位角被动定位方法来调整无人机的位置。为了减小无人机与理想位置的偏差,首先以约束规则下各接收无人机理想坐标最近的位置为目标函数建立优化模型,并以信号无人机可遍历坐标为约束,建立迭代优化距离模型,利用遍历算法和迭代算法求出约束下无人机的理想位置;最终能够将无人机的实际总偏差降低到0.159 m左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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