Micro-doppler mini-UAV classification using empirical-mode decomposition features

• Main Authors: Oh, Beom-Seok, Guo, Xin, Wan, Fangyuan, Toh, Kar-Ann, Lin, Zhiping
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Empirical-mode Decomposition (EMD); Micro-Doppler Signature (m-DS)
• 在線閱讀: https://hdl.handle.net/10356/142959
• 機構: Nanyang Technological University

In this letter, we propose an empirical-mode decomposition (EMD)-based method for automatic multicategory mini-unmanned aerial vehicle (UAV) classification. The radar echo signal is first decomposed into a set of oscillating waveforms by EMD. Then, eight statistical and geometrical features are extr...