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2017•Unpublished venueRequires access

Consumer-grade drone radar cross-section and micro-Doppler phenomenology

Andrew Herschfelt, Craig R. Birtcher, Richard M. Gutierrez, Yu Rong, Hanguang Yu, Constantine A. Balanis, Daniel W. Bliss

Open publisher page 44 citations

Abstract

Detection and classification of unmanned aerial vehicles (UAVs) or unmanned aerial systems (UASs) requires an understanding of their characteristics in various regimes. Two relevant UAS characteristics are measured for two consumer-grade UASs: radar cross-section (RCS) and micro-Doppler profile. RCS is measured as a function of frequency, angle, and orientation. Electromagnetic and acoustic micro-Doppler characteristics of the UASs' moving blades are also measured.

About this research paper

What this paper is about

Detection and classification of unmanned aerial vehicles (UAVs) or unmanned aerial systems (UASs) requires an understanding of their characteristics in various regimes. Two relevant UAS characteristics are measured for two consumer-grade UASs: radar cross-section (RCS) and micro-Doppler profile. RCS is measured as a function of frequency, angle, and orientation. Electromagnetic and acoustic micro-Doppler characteristics of the UASs' moving blades are also measured.

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OpenAlex reports 44 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Detection and classification of unmanned aerial vehicles (UAVs) or unmanned aerial systems (UASs) requires an understanding of their characteristics in various regimes. Two relevant UAS characteristics are measured for two consumer-grade UASs: radar cross-section (RCS) and micro-Doppler profile. RCS is measured as a function of frequency, angle, and orientation. Electromagnetic and acoustic micro-Doppler characteristics of the UASs' moving blades are also measured.

Key concepts: Radar cross-section, Drone, Doppler radar, Doppler effect, Radar, Remote sensing, Computer science, Aerospace engineering

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