Skip to main content Accessibility help
×
Home

Radar micro-Doppler mini-UAV classification using spectrograms and cepstrograms

  • Ronny I.A. Harmanny (a1), Jacco J.M. de Wit (a2) and Gilles Premel-Cabic (a1)

Abstract

The radar micro-Doppler signature of a target is determined by parts of the target moving or rotating in addition to the main body motion. The relative motion of these parts is characteristic for different classes of targets, e.g. the flapping motion of a bird's wings versus the spinning of propeller blades. In the present study, the micro-Doppler signature is exploited to discriminate birds and small unmanned aerial vehicles (UAVs). Emphasis is on micro-Doppler features that can be extracted from spectrograms and cepstrograms, enabling the human eye or indeed automatic classification algorithms to make a quick distinction between man-made objects and bio-life. In addition, in case of man-made objects, it is desired to further characterize the type of mini-UAV to aid the threat assessment. Also this characterization is done on the basis of micro-Doppler features.

Copyright

Corresponding author

Corresponding author: R.I.A. Harmanny Email: ronny.harmanny@nl.thalesgroup.com

References

Hide All
[1] Chen, V.: The Micro-Doppler Effect in Radar, Artech House, Norwood, MA, 2011.
[2] Pennycuick, C.J.: Wingbeat frequency of birds in steady cruising flight: new data and improved predictions. J. Exp. Biol., 199 (1996), 16131618.
[3] Bogert, B.P.; Healy, M.J.R.; Tukey, J.W.: The Quefrency Alanysis of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross-Cepstrum and Saphe Cracking, in Rosenblatt, M. (ed.), Proc. of the Symp. on Time Series Analysis, Wiley, New York, 1963. Chapter 15, p. 209–243.
[4] Noll, A.M.; Schroeder, M.R.: Short-time ‘Cepstrum’ pitch detection. in (abstract), J. Acoust. Soc. Am., 36 (5), 1030.
[5] de Wit, J.J.M.; Harmanny, R.I.A.; Prémel-Cabic, G.: Micro-Doppler analysis of small UAV, in Proc. EuRAD, Amsterdam, The Netherlands, October 31–November 2, 2012.
[6] van der Heijden, F.; Duin, R.P.W.; de Ridder, D.; Tax, D.M.J.: Classification, Parameter Estimation and State Estimation, Wiley & Sons, Chichester, UK, 2004.

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed