INTERFERENCE OF RADAR DETECTION OF DRONES BY BIRDS

Recently, consumer drones have encroached upon airports and pose a potential threat to aviation safety. Radar is an effective remote sensing tool to detect and track flying drones. Radar echoes from flying birds are assumed to be clutters when a radar is detecting drones. Yet, few studies have reported how radar echoes from flying birds interfere with the detection of drones, how similar radar cross section (RCS) and flight feature of birds and drones are, and why the flying birds cause trouble when radar identifies signals from the drone. In this study, we collected 3900× 256 of Ku-band radar echoes of flying birds and consumer drones. The targets consist of a pigeon, a crane, waterfowl, and a DJI Phantom 3 Vision drone. We compared the maximum detectable range of birds and drones, the time series and the Doppler spectrum of radar echoes from the birds and the drone, considering oncoming and outgoing radar data with respect to radar location. The statistical results indicate that flying birds have similar RCS, same velocity range, similar signal fluctuation, and approximate signal amplitude. Our results of radar automatic target recognition (ATR) illuminate that the identification probability of airborne drones will be lower due to the interference of the radar signal by flying birds. Above all, these facts confirm that flying birds are the main cause of interference when a radar is detecting and identifying airborne drones.

[1]  G. P. Cabic,et al.  Radar micro-Doppler feature extraction using the spectrogram and the cepstrogram , 2014, 2014 11th European Radar Conference.

[2]  Richard A. Dolbeer,et al.  Wildlife Strikes to Civil Aircraft in the United States 1990-2007 , 2008 .

[3]  Sidney A. Gauthreaux,et al.  RADAR ORNITHOLOGY AND BIOLOGICAL CONSERVATION , 2003 .

[4]  Zion Tsz Ho Tse,et al.  Drones: balancing risk and potential. , 2015, Science.

[5]  J. R. Moon,et al.  Effects of birds on radar tracking systems , 2002, RADAR 2002.

[6]  Hisaya Hadama,et al.  Characteristics of ultra-wideband radar echoes from a drone , 2017 .

[7]  Stefan Nilsson,et al.  Micro-Doppler extraction of a small UAV in a non-line-of-sight urban scenario , 2017, Defense + Security.

[8]  Samuel S. Urmy,et al.  Quantitative ornithology with a commercial marine radar: standard‐target calibration, target detection and tracking, and measurement of echoes from individuals and flocks , 2017 .

[9]  Francesco Fioranelli,et al.  Monostatic and bistatic radar measurements of birds and micro-drone , 2016, 2016 IEEE Radar Conference (RadarConf).

[10]  Bruno Bruderer,et al.  Wing‐beat characteristics of birds recorded with tracking radar and cine camera , 2010 .

[11]  Francesco Fioranelli,et al.  Micro-drone RCS analysis , 2015, 2015 IEEE Radar Conference.

[12]  H. Ling,et al.  An Investigation on the Radar Signatures of Small Consumer Drones , 2017, IEEE Antennas and Wireless Propagation Letters.

[13]  Javid Bayandor,et al.  Investigation of UAS Ingestion into High-Bypass Engines, Part 1: Bird vs. Drone , 2017 .

[14]  P. Tait Introduction to Radar Target Recognition , 2005 .

[15]  Mohammed Jahangir,et al.  Doppler characteristics of micro-drones with L-Band multibeam staring radar , 2017, 2017 IEEE Radar Conference (RadarConf).

[16]  P. Beasley,et al.  David Lack and the birth of radar ornithology , 2010 .

[17]  Jan Farlik,et al.  Radar cross section and detection of small unmanned aerial vehicles , 2016, 2016 17th International Conference on Mechatronics - Mechatronika (ME).

[18]  Ronald P. Larkin,et al.  Waterfowl on weather radar: applying ground-truth to classify and quantify bird movements , 2010 .

[19]  Tim J. Nohara,et al.  Using radar cross-section to enhance situational awareness tools for airport avian radars , 2011 .

[20]  J. J. M. de Wit,et al.  Classification of small UAVs and birds by micro-Doppler signatures , 2013, 2013 European Radar Conference.

[21]  Seth Troxel,et al.  Progress Report on Development of a Terminal Area Bird Detection and Monitoring System using the ASR-9 , 2002 .

[22]  C. Vaughn Birds and insects as radar targets: A review , 1985, Proceedings of the IEEE.

[23]  Hugh D. Griffiths,et al.  Classification of Birds and UAVs Based on Radar Polarimetry , 2016, IEEE Geoscience and Remote Sensing Letters.

[24]  Massimiliano Pieraccini,et al.  RCS measurements and ISAR images of small UAVs , 2017, IEEE Aerospace and Electronic Systems Magazine.

[25]  Gilbert Saporta,et al.  Automatic identification of bird targets with radar via patterns produced by wing flapping , 2008, Journal of The Royal Society Interface.

[26]  Jonathan Histon,et al.  Feature extraction and radar track classification for detecting UAVs in civillian airspace , 2014, 2014 IEEE Radar Conference.

[27]  Stephen Harman A comparison of staring radars with scanning radars for UAV detection: Introducing the Alarm™ staring radar , 2015, 2015 European Radar Conference (EuRAD).

[28]  K. Horton,et al.  A continental system for forecasting bird migration , 2018, Science.

[29]  Karl Erik Olsen,et al.  K-band radar signature analysis of a flying mallard duck , 2013, 2013 14th International Radar Symposium (IRS).

[30]  Valery M. Melnikov,et al.  Resonance Effects Within S-Band in Echoes From Birds , 2012, IEEE Geoscience and Remote Sensing Letters.

[31]  Hugh D. Griffiths,et al.  X-band measurements of radar signatures of large sea birds , 2014, 2014 International Radar Conference.

[32]  Stephen Harman Characteristics of the Radar signature of multi-rotor UAVs , 2016, 2016 European Radar Conference (EuRAD).

[33]  P. Blacksmith,et al.  On measuring the radar cross sections of ducks and chickens , 1965 .

[34]  Xudong Jiang,et al.  Regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detection , 2017, Pattern Recognit..