Skip to content

Research at St Andrews

In-flight RCS measurements of drones and birds at K-band and W-band

Research output: Contribution to journalArticle

Abstract

This study presents the in-flight radar cross-section (RCS) data of drones and birds at K-band and W-band obtained from extensive experimental trials. The focus of this study is to demonstrate the RCS characteristics of these targets in practical scenarios, hence experimental results are used exclusively. Owing to variations in orientation, aspect angle and target motion, the measured RCS values of these targets fluctuate significantly during their flight. Three very well-calibrated frequency modulated continuous wave radar systems, one operating at the K-band (24 GHz) and two at W-band (94 GHz), have been used to collect data for RCS analysis. Three drones of different sizes (DJI Phantom 3 Standard, DJI Inspire 1 and DJI S900 Hexacopter) and four birds of prey of different sizes (Northern Hawk Owl, Harris Hawk, Indian Eagle Owl and Tawny Eagle) have been used for data collection. The results demonstrate that the RCS scales broadly with the size of the target, consistent with the optical scattering regime and that the RCS values for each target are comparable at the K-band and the W-band. The statistical distribution of RCS for each target falls within a certain range which is useful for predicting the performance of a drone detection radar.
Close

Details

Original languageEnglish
Article number8646807
Pages (from-to)300-309
Number of pages10
JournalIET Radar Sonar and Navigation
Volume13
Issue number2
Early online date26 Sep 2018
DOIs
Publication statusPublished - 21 Feb 2019

    Research areas

  • Statistical distributions, CW radar, Remotely operated vehicles, Radar cross-sections, Airborne radar, FM radar

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Millimeter-wave radar micro-Doppler feature extraction of consumer drones and birds for target discrimination

    Rahman, S. & Robertson, D. A., 3 May 2019, Radar Sensor Technology XXIII. Ranney, K. I. & Doerry, A. (eds.). SPIE, 9 p. 110030S. (Proceedings of SPIE; vol. 11003).

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

  2. Radar micro-Doppler signatures of drones and birds at K-band and W-band

    Rahman, S. & Robertson, D. A., 26 Nov 2018, In : Scientific Reports. 8, 17396.

    Research output: Contribution to journalArticle

  3. Coherent 24 GHz FMCW radar system for micro-Doppler studies

    Rahman, S. & Robertson, D. A., 4 May 2018, Radar Sensor Technology XXII. Ranney, K. I. & Doerry, A. (eds.). SPIE, 9 p. 106330I. (Proceedings of SPIE; vol. 10633).

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

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

    Rahman, S. & Robertson, D., 21 Dec 2017, 2017 Sensor Signal Processing for Defence Conference (SSPD). Institute of Electrical and Electronics Engineers Inc., 5 p. 8233269

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

  5. Millimeter-wave micro-Doppler measurements of small UAVs

    Rahman, S. & Robertson, D. A., 1 May 2017, Radar Sensor Technology XXI. Ranney, K. I. & Doerry, A. (eds.). SPIE, 9 p. 101880T. (Proceedings of SPIE; vol. 10188).

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

Related by journal

  1. Range autofocus for linearly frequency-modulated continuous wave radar

    Middleton, R. J. C., Macfarlane, D. G. & Robertson, D. A., Mar 2011, In : IET Radar Sonar and Navigation. 5, 3, p. 288-295 8 p.

    Research output: Contribution to journalArticle

ID: 256579874

Top