无人机微多普勒信号估计计算方法的验证

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Facta Universitatis-Series Electronics and Energetics Pub Date : 2022-01-01 DOI:10.2298/fuee2203379l

A. Lebl, M. Mileusnic, D. Mitic, J. Radivojević, V. Matic

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引用次数: 1

摘要

FMCW雷达获得的无人机微多普勒特征是一种很好的恶意无人机检测、识别和分类程序。有许多关于这些微多普勒特征的记录谱图的贡献，但很少有人分析了计算无人机运动部件引起的回波的可能性。本文从已有的数学装置出发，给出了旋翼数、叶片数、叶片长度和旋翼移动速度等无人机运动部件特征变化的谱图。这一发展是旨在防止恶意使用无人机的更广泛项目的一部分。

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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Verification of calculation method for drone micro-Doppler signature estimation

Drones micro-Doppler signatures obtained by FMCW radars are an excellent procedure for malicious drone detection, identification and classification. There are a number of contributions dealing with recorded spectrograms with these micro-Doppler signatures, but very low number of them has analyzed possibility to calculate echo caused by drone moving parts. In this paper, starting from already existing mathematical apparatus, we presented such spectrograms as a function of changing drone moving parts characteristics: rotor number, blades number, blade length and rotor moving speed. This development is the part of a wider project intended to prevent malicious drone usage.

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来源期刊

Facta Universitatis-Series Electronics and Energetics ENGINEERING, ELECTRICAL & ELECTRONIC-

自引率

16.70%

发文量

审稿时长

20 weeks