A purely azimuth passive localization model and adjustment scheme for UAV formation

Hao Sun, Linwei Dong, Xuhang Huang, Yuqi Fan, Yupeng Mei
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Abstract

UAV clusters are a new type of cluster mode, which should maintain electromagnetic silence as much as possible during the formation flight. When the deviation of the UAVs position occurs during the flight, a pure direction finding method can be used to adjust the queue position of the UAVs. In this paper, we model and analyze the problem of position deviation for UAVs based on pure direction finding by optimizing theory and grid convenience method. Firstly, we establish an unbiased positioning model of the transmitter under ideal conditions. Then, we modify the model by equivalent conversion of deviation and establish the final biased positioning model of the transmitter. Finally, we simulate the actual UAV positioning situation through MATLAB simulation and verify the feasibility of our model.
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无人机编队纯方位被动定位模型及平差方案
无人机集群是一种新型的集群模式,在编队飞行过程中应尽可能保持电磁沉默。当无人机在飞行过程中出现位置偏差时,可以采用纯测向方法对无人机的队列位置进行调整。本文利用优化理论和网格便利方法,对基于纯测向的无人机定位偏差问题进行建模和分析。首先,建立了理想条件下发射机的无偏定位模型。然后,通过等效偏差转换对模型进行修正,建立最终的发射机偏置定位模型。最后,通过MATLAB仿真对实际无人机定位情况进行了仿真,验证了模型的可行性。
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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