Simulation of Micro-Doppler Signatures of Drones

Megha Kataria, B. Lall
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Abstract

Drones or Unmanned Aerial Vehicles (UAVs) usage has increased considerably over the past years. Drones are being increasingly used for malicious activities in the recent times. So, there is a need for a good Anti Drone System(ADS). Dataset is a big issue if we are using machine learning techniques for drone detection. In this paper we present an approach for emulating drone and drone trajectory characteristics as captured in micro-doppler format. Mostly, work on simulation of micro-doppler signatures has been done for stationary targets, but in this paper, we allow for the target to have translational and rotational velocity. Also, such simulations are available only for quadcopters. We extend the set by creating the simulations for the case hexacopters, tricopters and octacopters We have used MATLAB software for our simulations.
无人机微多普勒信号仿真
无人机或无人驾驶飞行器(uav)的使用在过去几年中大幅增加。近年来,无人机被越来越多地用于恶意活动。因此,需要一个好的反无人机系统(ADS)。如果我们使用机器学习技术进行无人机检测,数据集是一个大问题。在本文中,我们提出了一种方法来模拟无人机和无人机的轨迹特征捕获在微多普勒格式。大多数情况下,微多普勒特征的模拟工作是针对静止目标进行的,但在本文中,我们允许目标具有平移和旋转速度。此外,这种模拟只适用于四轴飞行器。我们通过创建六旋翼机、三旋翼机和八旋翼机的仿真来扩展该集合,我们使用MATLAB软件进行仿真。
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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