Multistatic micro-Doppler radar signatures of personnel targets

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Multistatic micro-Doppler radar signatures of personnel targets

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This study extends the theory of the micro-Doppler effect into the multistatic domain, and considers how the multistatic micro-Doppler signature (µ-DS) will affect radar automatic target recognition (ATR). Real multistatic µ-DS of personnel targets are examined and their nature compared with theory and simulated results. It is demonstrated that the use of multistatic µ-DSs would increase the robustness of radar ATR systems to the problem of self-occlusion, where the target obscures itself. Redundancy in the multistatic µ-DS is identified, and how this may reduce the data fusion demands of multi-aspect classifiers is discussed. Also, information theory is used to demonstrate that the multistatic µ-DS contains more target information than the monostatic case. This result leads to the prediction that multi-aspect µ-DS-based radar ATR would have improved performance compared to single-aspect solutions.

Inspec keywords: radar target recognition; Doppler radar

Other keywords: multistatic μ-DS; radar automatic target recognition; personnel targets; multistatic micro-Doppler radar signatures

Subjects: Radar theory

References

    1. 1)
      • R. Boulic , N. Magnent-Thalmann , D. Thalmann . A global human walking model with real-time kinematic personification. Vis. Comput. , 6 , 344 - 358
    2. 2)
      • T. Derham , S. Doughty , K. Woodbridge , C. Baker . Design and evaluation of a low-cost multistatic netted radar system. Radar Sonar Navig., IET , 5 , 362 - 368
    3. 3)
      • P. van Dorp , F. Groen . Human walking estimation with radar. IEE Proc.-Radar Sonar Navig. , 5 , 356 - 365
    4. 4)
      • M.I. Skolnik . (2001) Introduction to radar systems.
    5. 5)
      • Smith, G.E., Woodbridge, K., Baker, C.J.: `Naive bayesian radar micro-Doppler recognition', Proc. Int. Radar Conf. 2008, September 2008, Adelaide.
    6. 6)
      • Smith, G.E., Woodbridge, K., Baker, C.J.: `Multiperspective micro-Doppler signature classification', Proc. IET Int. Conf. on Radar Systems 2007, October 2007, Edinburgh.
    7. 7)
      • Smith, G.E., Woodbridge, K., Baker, C.J.: `Multistatic micro-Doppler signature of personnel', Proc. 2008 IEEE Radar Conf., May 2008, Rome, p. 1961–1966.
    8. 8)
      • R.O. Duda , P.E. Hart , D.G. Stork . Pattern classification.
    9. 9)
      • T.M. Cover , J.A. Thomas . (2006) Elements of information theory.
    10. 10)
      • I. Bilik , J. Tabrikian , A. Cohen . Gmm-based target classification for ground surveillance doppler radar. IEEE Trans. Aerosp. Electron. Syst. , 1 , 267 - 278
    11. 11)
      • F. Zhu , X.-D. Zhang , Y.-F. Hu , D. Xie . Nonstationary hidden markov models for multiaspect discriminative feature extraction from radar targets. IEEE Trans. Signal. Proces. , 5 , 2203 - 2214
    12. 12)
      • Ghaleb, A., Vignaud, L., Nicolas, J.-M.: `Micro-Doppler analysis of pedestrians in isar imaging', Proc. 2008 IEEE Radar Conf., May 2008, Rome, p. 943–947.
    13. 13)
      • Doughty, S.: `Development and performance evaluation of a multistatic radar system', 2008, PhD, University College London, London.
    14. 14)
      • Ram, S.S., Ling, H.: `Simulation of human doppler spectrograms', Proc. 2008 IEEE Radar Conf., May 2008, Rome, p. 535–540.
    15. 15)
      • Derham, T.E.: `The design and calibration of a coherent multistatic radar system', April 2005, PhD, University College, London.
    16. 16)
      • Liao, X., Runkle, P., Jiao, Y., Carin, L.: `Identification of ground targets from sequential hrr radar signatures', 2001 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2001 Proc. (ICASSP'01), 2001, 5, p. 2897–2900.
    17. 17)
      • M. Bell , R. Grubbs . JEM modeling and measurement for radar target identification. IEEE Trans. Aerosp. Electron. Syst. , 1 , 73 - 87
    18. 18)
      • Smith, G.E., Woodbridge, K., Baker, C.J.: `Template based micro-Doppler signature classification', Proc. Third European Radar Conf., September 2006, Manchester, p. 158–161.
    19. 19)
      • Derham, T., Doughty, S., Woodbridge, K., Baker, C.J.: `Realisation and evaluation of a low cost netted radar system', Proc. CIE 06 Int. Conf. on Radar, 2006, p. 1–4.
    20. 20)
      • Stove, A., Sykes, S.: `A Doppler-based target classifier using linear discriminants and principal components', Proc. 2003 Int. Radar Conf., 2003, p. 171–176.
    21. 21)
      • V.S. Chernyak . (1998) Fundamentals of multisite radar systems (multistatic radars and multiradar systems).
    22. 22)
      • V. Chen , L. Fayin , H. Shen-Shyang , H. Wechsler . Micro-Doppler effect in radar: phenomenon, model, and simulation study. IEEE Trans. Aerosp. Electron. Sys. , 1 , 2 - 21
    23. 23)
      • M. Vespe , C. Baker , H. Griffiths . Radar target classification using multiple perspectives. IET Radar Sonar Navig. , 4 , 300 - 307
    24. 24)
      • Liao, X., Bao, Z., Xing, M.: `On the aspect sensitivity of high resolution range profiles and its reduction methods', Record of the IEEE 2000 Int. Radar Conf., 2000, p. 310–315.
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