An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction

Beom Seok Oh; Xin Guo; Fangyuan Wan; Kar Ann Toh; Zhiping Lin

doi:10.1109/ICDSP.2017.8096105

An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction

Beom Seok Oh, Xin Guo, Fangyuan Wan, Kar Ann Toh, Zhiping Lin

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Under a radar-based mini-size unmanned aerial vehicle (mini-UAV) classification scenario, the mini-UAV physical parameters play an important role. The parameters can be retrieved from radar blade flashes induced by rotor blades. In this work, we propose a novel method for enhancing the distinctive-ness between blade flashes so that the physical parameters can be better estimated. Essentially, the radar micro-Doppler signatures (m-DS) is decomposed using a time-frequency analysis method, empirical mode decomposition (EMD). We then reconstruct the blade flashes using the selected blade-flash-characterized mode functions. From the spectrogram, the reconstructed blade flashes can be better seen than without using EMD.

Original language	English
Title of host publication	2017 22nd International Conference on Digital Signal Processing, DSP 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538618950
DOIs	https://doi.org/10.1109/ICDSP.2017.8096105
Publication status	Published - 2017 Nov 3
Event	2017 22nd International Conference on Digital Signal Processing, DSP 2017 - London, United Kingdom Duration: 2017 Aug 23 → 2017 Aug 25

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2017-August

Other

Other	2017 22nd International Conference on Digital Signal Processing, DSP 2017
Country/Territory	United Kingdom
City	London
Period	17/8/23 → 17/8/25

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Signal Processing

Access to Document

10.1109/ICDSP.2017.8096105

Cite this

Oh, B. S., Guo, X., Wan, F., Toh, K. A., & Lin, Z. (2017). An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction. In 2017 22nd International Conference on Digital Signal Processing, DSP 2017 Article 8096105 (International Conference on Digital Signal Processing, DSP; Vol. 2017-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2017.8096105

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title = "An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction",

abstract = "Under a radar-based mini-size unmanned aerial vehicle (mini-UAV) classification scenario, the mini-UAV physical parameters play an important role. The parameters can be retrieved from radar blade flashes induced by rotor blades. In this work, we propose a novel method for enhancing the distinctive-ness between blade flashes so that the physical parameters can be better estimated. Essentially, the radar micro-Doppler signatures (m-DS) is decomposed using a time-frequency analysis method, empirical mode decomposition (EMD). We then reconstruct the blade flashes using the selected blade-flash-characterized mode functions. From the spectrogram, the reconstructed blade flashes can be better seen than without using EMD.",

author = "Oh, {Beom Seok} and Xin Guo and Fangyuan Wan and Toh, {Kar Ann} and Zhiping Lin",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 22nd International Conference on Digital Signal Processing, DSP 2017 ; Conference date: 23-08-2017 Through 25-08-2017",

year = "2017",

month = nov,

day = "3",

doi = "10.1109/ICDSP.2017.8096105",

language = "English",

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Oh, BS, Guo, X, Wan, F, Toh, KA & Lin, Z 2017, An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction. in 2017 22nd International Conference on Digital Signal Processing, DSP 2017., 8096105, International Conference on Digital Signal Processing, DSP, vol. 2017-August, Institute of Electrical and Electronics Engineers Inc., 2017 22nd International Conference on Digital Signal Processing, DSP 2017, London, United Kingdom, 17/8/23. https://doi.org/10.1109/ICDSP.2017.8096105

An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction. / Oh, Beom Seok; Guo, Xin; Wan, Fangyuan et al.
2017 22nd International Conference on Digital Signal Processing, DSP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8096105 (International Conference on Digital Signal Processing, DSP; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction

AU - Oh, Beom Seok

AU - Guo, Xin

AU - Wan, Fangyuan

AU - Toh, Kar Ann

AU - Lin, Zhiping

PY - 2017/11/3

Y1 - 2017/11/3

N2 - Under a radar-based mini-size unmanned aerial vehicle (mini-UAV) classification scenario, the mini-UAV physical parameters play an important role. The parameters can be retrieved from radar blade flashes induced by rotor blades. In this work, we propose a novel method for enhancing the distinctive-ness between blade flashes so that the physical parameters can be better estimated. Essentially, the radar micro-Doppler signatures (m-DS) is decomposed using a time-frequency analysis method, empirical mode decomposition (EMD). We then reconstruct the blade flashes using the selected blade-flash-characterized mode functions. From the spectrogram, the reconstructed blade flashes can be better seen than without using EMD.

AB - Under a radar-based mini-size unmanned aerial vehicle (mini-UAV) classification scenario, the mini-UAV physical parameters play an important role. The parameters can be retrieved from radar blade flashes induced by rotor blades. In this work, we propose a novel method for enhancing the distinctive-ness between blade flashes so that the physical parameters can be better estimated. Essentially, the radar micro-Doppler signatures (m-DS) is decomposed using a time-frequency analysis method, empirical mode decomposition (EMD). We then reconstruct the blade flashes using the selected blade-flash-characterized mode functions. From the spectrogram, the reconstructed blade flashes can be better seen than without using EMD.

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M3 - Conference contribution

AN - SCOPUS:85040362205

T3 - International Conference on Digital Signal Processing, DSP

BT - 2017 22nd International Conference on Digital Signal Processing, DSP 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 22nd International Conference on Digital Signal Processing, DSP 2017

Y2 - 23 August 2017 through 25 August 2017

ER -

An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction

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