Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Comparison of micro-Doppler signatures registered using RBM of helicopters and WSM of vehicles

Jet engine modulation (JEM) are micro-Doppler features obtained from the radar data of aircraft, including jet aircraft and helicopters, and generally viewed as unique phenomenon suitable for identifying aerial targets. The authors demonstrate however, that JEM are not unique, and that the rotating wheel spokes on the wheels of ground vehicles produce a modulation similar to the rotating rotor blades of jet engines and helicopter rotor blades. They also develop a mathematical model to analyse the radar signal scattering mechanism of wheel spokes, and also employ a Ku-band Doppler radar system to collect radar echoes from a wheeled vehicle and a helicopter. Both the theoretical and experimental results verify the existence of rotor blade modulation (RBM) phenomena from helicopters and wheel spoke modulation (WSM) phenomena from vehicles. Both RBM and WSM are similar to JEM features. This fact indicates that JEM is a necessary but insufficient condition for the identification of aerial targets, and additional recognition features inherent in surface surveillance radar are needed to distinguish the JEM spectra arising from aerial targets and ground vehicles.

References

    1. 1)
      • 11. Johnsen, T., Olsen, K.E., Gundersen, R.: ‘Hovering helicopter measured by bi-/multistatic CW radar’. Proc. of the 2003 IEEE Radar Conf., Huntsville, USA, May 2003, pp. 165170.
    2. 2)
      • 8. Tait, P.: ‘Introduction to radar target recognition’ (Institution of Electrical Engineers, London, UK, 2005).
    3. 3)
      • 3. Chen, V.C., Li, F., Ho, S.S., et al: ‘Micro-Doppler effect in radar: phenomenon, model, and simulation study’, IEEE Trans. Aerosp. Electron. Syst., 2006, 42, (1), pp. 221.
    4. 4)
      • 9. Martin, J., Mulgrew, B.: ‘Analysis of the theoretical radar return signal form aircraft propeller blades’. IEEE Int. Conf. on Radar, Arlington, USA, May 1990, pp. 569572.
    5. 5)
      • 2. Skolnik, M.: ‘Radar handbook’ (McGraw-Hill Education, New York, NY, USA, 2008, 3rd edn.).
    6. 6)
      • 7. Li, Y., Du, L., Liu, H.: ‘Moving vehicle classification based on micro-Doppler signature’. 2011 IEEE Int. Conf. on Signal Processing, Communications and Computing (ICSPCC), Xi'an, China, 2011, pp. 14.
    7. 7)
      • 13. Ghaleb, A., Vignaud, L., Nicolas, J.M.: ‘Micro-Doppler analysis of wheels and pedestrians in ISAR imaging’, IET Signal Process.., 2008, 2, (3), pp. 301311.
    8. 8)
      • 12. Yang, W.Y., Ji, H.P., Bae, J.W., et al: ‘Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets’, IEEE Aerosp. Electron. Syst. Mag., 2015, 30, (7), pp. 1829.
    9. 9)
      • 10. Bell, M.R., Grubbs, R.A.: ‘JEM modeling and measurement for radar target identification’, IEEE Trans. Aerosp. Electron. Syst., 1993, 29, (1), pp. 7387.
    10. 10)
      • 5. Geisheimer, J.L.: ‘Extraction of micro-Doppler data from vehicle targets at x-band frequencies’. Proc. SPIE - Int. Soc. Opt. Eng., Orlando, FL, USA, 2001, pp. 19.
    11. 11)
      • 6. Kellner, D., Barjenbruch, M., Klappstein, J., et al: ‘Wheel extraction based on micro Doppler distribution using high-resolution radar’. 2015 IEEE MTT-S Int. Conf. on Microwaves for Intelligent Mobility, Heidelberg, Germany, April 2015, pp. 14.
    12. 12)
      • 16. Robinson R22 Beta II-specifications & dimensions’. Available at: https://robinsonheli.com/r22-specifications/ accessed 17 November 2018.
    13. 13)
      • 1. Zhao, S., Chen, L.: ‘Research on the angle measurement algorithm for low-speed target of radar’, Appl. Mech. Mater., 2014, 662, pp. 247250.
    14. 14)
      • 4. Lie-Svendsen, Ø, Olsen, K.E., Johnsen, T.: ‘Measurements and signal processing of helicopter micro-Doppler signatures’. 11th European Radar Conf., Rome, Italy, October, 2014, pp. 121124.
    15. 15)
      • 14. Chen, V.C., Miceli, W.J., Himed, B.: ‘Micro-Doppler analysis in ISAR – review and perspectives’. 2009 Int. Radar Conf. ‘Surveillance for a Safer World’ (RADAR 2009), Bordeaux, France, October, 2009, pp. 16.
    16. 16)
      • 15. Piazza, E.: ‘Radar signals analysis and modellization in the presence of JEM application to civilian ATC radars’, IEEE Aerosp. Electron. Syst. Mag., 2002, 14, (1), pp. 3540.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn.2019.0210
Loading

Related content

content/journals/10.1049/iet-rsn.2019.0210
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address