Author(s)

Ziting Xu ¹, Yingqi Liu ²

Affiliation(s)

¹ School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610000, China
² Houston International Institute, Dalian Maritime University, Dalian, 116026, China

Corresponding Author

Ziting Xu

ABSTRACT

Explosive growth of private drones pose great threat to privacy and safety. Accurately capturing is necessary for regulations. The micro-Doppler (MD) effect is commonly used to identify small unmanned aerial vehicles (UAVs), especially hovering UAVs. This study analyzes the MD effect of UAV rotor blades. It extracts the time-frequency features during radar-based UAV detection using the Short-Time Fourier Transform (STFT). By comparing the MD characteristics of UAVs in hovering and moving states within the same distance unit, as well as the signal difference when the distance unit changes or remains unchanged during the translation process, this paper analyzes in depth the MD characteristics of UAVs in various motion states. The results show that proper tracking of the range unit is necessary to extract the correct MD of a moving target.

KEYWORDS

UAV Detection, MD Effect, Short Time Fourier Transform, moving target

CITE THIS PAPER

Ziting Xu, Yingqi Liu, The MD effect of a moving UAV's rotor. Journal of Network Computing and Applications (2024) Vol. 9: 1-7. DOI: http://dx.doi.org/10.23977/jnca.2024.090101.

REFERENCES

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