利用无人机综合体建立的AESA定位农业机器人车辆的方法

A. Denisov
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引用次数: 0

摘要

本文研究了一种在广大农业区保证通信和目标定位的相关方法。为了解决这一问题,提出了一种涉及多架无人机的作战方案,该方案建立了AESA;构建无人机复合体移动最优路径的算法、无人机群线性和平面编队的AESA方向图计算公式、不同区域地形扫描所需的时间计算公式。在这种复合结构中,每架无人机都安装了带移相器的天线。本文还考虑了地形扫描无人机综合体不同运动方式的建模和比较。由于采用了有源电子扫描阵列,所提出的定位方法具有抗干扰性高、屏蔽噪声效果好、对天气条件的依赖小、适用于夜间的特点。与其他方法不同,它支持大范围的数据传输和接收。因此,AESA的应用使该方法在定位和通信建立方面具有鲁棒性和实用性,而所提出的构建机器人复杂运动的最优路径的算法可以减少区域扫描所需的时间。因此,这种方法允许实现无人机复合体必须覆盖的最短距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of localization of agricultural robotic vehicles using AESA established by an UAV complex
This paper considers a relevant method to ensure communication and object location in vast agricultural areas. To solve this problem an operational scenario was proposed, an approach, involving a complex of several UAVs, which establish an AESA; an algorithm for building an optimal path, along which the UAV complex moves, formulas for calculating AESA direction pattern for linear and flat formations of UAV groups, formulas for calculating time, required for terrain scanning with various areas. In such complex on each UAV an antenna with phase shifter is mounted. The paper also considers modeling and comparison of different approaches to motion of an UAV complex for terrain scanning. Due to application of active electronically scanned arrays, the proposed localization method is characterized by high noise immunity, is better shielded from noise, less dependent on weather conditions and appliable at night time. Unlike other methods, it supports wide-range transmission and reception of data. Thereby, application of AESA makes this method robust and practical for localization and communication establishment, whereas the proposed algorithm for building of optimal path, along which the robotic complex moves, enables to reduce time, required for area scanning. Consequently, this method allows achieving the shortest distance that the UAV complex has to cover.
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