Abstract
Identification of the unmanned aerial vehicle (UAV) is a challenging problem. For identification, micro-Doppler effects from the rotors of UAVs are widely used to extract the features. Short Time Fourier Transform (STFT), Wigner-Ville distribution (WVD) and s method are the most common methods to obtain micro-Doppler signatures. Rotor blade length, number of blades and rotation rate have significant distinguishable effects on the micro-Doppler signatures. In this paper, effect of blade length, number of blades and rotation rate on micro-Doppler signatures are presented.
Original language | English |
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Title of host publication | Proceedings - 2019 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 298-301 |
Number of pages | 4 |
ISBN (Electronic) | 9781728139104 |
DOIs | |
Publication status | Published - Apr 2019 |
Event | 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 - Istanbul, Turkey Duration: 16 Apr 2019 → 17 Apr 2019 |
Publication series
Name | Proceedings - 2019 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
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Conference
Conference | 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 16/04/19 → 17/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Micro-Doppler signature
- Rotor blade
- S Method
- Short Time Fourier Transform
- Wigner-Ville distribution