Özet
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.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | Proceedings - 2019 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 298-301 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781728139104 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - Nis 2019 |
| Etkinlik | 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 - Istanbul, Türkiye Süre: 16 Nis 2019 → 17 Nis 2019 |
Yayın serisi
| Adı | Proceedings - 2019 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
|---|
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| ???event.eventtypes.event.conference??? | 6th International Conference on Electrical and Electronics Engineering, ICEEE 2019 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Istanbul |
| Periyot | 16/04/19 → 17/04/19 |
Bibliyografik not
Publisher Copyright:© 2019 IEEE.
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