A Method of Fast and Simultaneous Calibration of Many Mobile FMCW Radars Operating in a Network Anti-Drone System

A Method of Fast and Simultaneous Calibration of Many Mobile FMCW Radars Operating in a Network Anti-Drone System
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DOI:
10.3390/rs11222617
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发表时间:
2019-11-02
期刊:
影响因子:
5
通讯作者:
Maksimiuk, Dariusz
Maksimiuk, Dariusz
中科院分区:
工程技术2区
文献类型:
--
作者:
Nowak, Aleksander;Naus, Krzysztof;Maksimiuk, Dariusz

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小型无人机市场正在快速发展。它们用于休闲活动并用于商业应用。然而,人们越来越担心这些平台被意外甚至犯罪滥用。无人机引发的危险事件越来越频繁,许多机构开始考虑反无人机解决方案。在很多情况下,构建固定系统似乎是漫无目的的,因为高成本与威胁频率等不相符。在这种情况下,移动无人机对抗系统似乎完全满足了需求。在现代移动解决方案中,调频连续波 (FMCW) 雷达经常用作探测器。许多雷达的正确配合要求将它们的测量结果带到一个共同的坐标系中——方位角必须在同一方向(最好是北方)测量。它需要校准,即确定对测量角度的恒定修正。本文介绍了作者对网络中运行的许多移动 FMCW 雷达进行快速、同步校准的方法。它经过 95,000 次数值测试的验证。结果表明,该方法在整个初始误差范围内显着改善了雷达的北向定向。因此,它可以成功地应用于实际应用中。
A market for small drones is developing very fast. They are used for leisure activities and exploited in commercial applications. However, there is a growing concern for accidental or even criminal misuses of these platforms. Dangerous incidents with drones are appearing more often, and have caused many institutions to start thinking about anti-drone solutions. There are many cases when building stationary systems seems to be aimless since the high cost does not correspond with, for example, threat frequency. In such cases, mobile drone countermeasure systems seem to perfectly meet demands. In modern mobile solutions, frequency modulated continuous wave (FMCW) radars are frequently used as detectors. Proper cooperation of many radars demands their measurements to be brought to a common coordinate system-azimuths must be measured in the same direction (preferably the north). It requires calibration, understood as determining constant corrections to measured angles. The article presents the author's method of fast, simultaneous calibration of many mobile FMCW radars operating in a network. It was validated using 95,000 numerical tests. The results show that the proposed method significantly improves the north orientation of the radars throughout the whole range of the initial errors. Therefore, it can be successfully used in practical applications.