Time-frequency analysis of millimeter-wave radar micro-Doppler data from small UAVs

Samiur Rahman, Duncan Robertson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Micro-Doppler feature analysis of small UAVs (sUAVs) is of great importance for identifying such targets. This paper discusses methods that can be used for analyzing various Doppler features present in the radar signal return from sUAVs. A 94 GHz radar is used in both CW and FMCW modes for data collection, and produces high fidelity micro-Doppler returns. Wavelet decomposition method is then used to extract the high frequency components of the signal that correspond to the characteristic fast moving parts of the sUAVs. Finally, time-frequency analysis is performed to visualize and interpret the features.
Original languageEnglish
Title of host publication2017 Sensor Signal Processing for Defence Conference (SSPD)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781538616635
DOIs
Publication statusPublished - 21 Dec 2017
Event2017 Sensor Signal Processing for Defence Conference (SSPD) - London, United Kingdom
Duration: 6 Dec 20177 Dec 2017
https://www.sspd.eng.ed.ac.uk/conference-archive/2017/welcome (Conference website)

Conference

Conference2017 Sensor Signal Processing for Defence Conference (SSPD)
Abbreviated titleSSPD
Country/TerritoryUnited Kingdom
CityLondon
Period6/12/177/12/17
Internet address

Keywords

  • Wavelet
  • sUAV
  • Drone
  • Millimeter-wave
  • Radar
  • FMCW
  • CW

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