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Analysis of radar micro-Doppler signatures from experimental helicopter and human data

Analysis of radar micro-Doppler signatures from experimental helicopter and human data

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This paper highlights the extraction of micro-Doppler (m-D) features from radar signal returns of helicopter and human targets using the wavelet transform method incorporated with time-frequency analysis. In order for the extraction of m-D features to be realised, the time domain radar signal is decomposed into a set of components that are represented at different wavelet scales. The components are then reconstructed by applying the inverse wavelet transform. After the separation of m-D features from the target's original radar return, time-frequency analysis is then used to estimate the target's motion parameters. The autocorrelation of the time sequence data is also used to measure motion parameters such as the vibration/rotation rate. The findings show that the results have higher precision after the m-D extraction rather than before it, since only the vibrational/rotational components are employed. This proposed method of m-D extraction has been successfully applied to helicopter and human data.

References

    1. 1)
      • Time-frequency transform for radar imaging and signal analysis
    2. 2)
      • Chen, V.C.: `Analysis of radar micro-Doppler signature with time frequency transform', Proc. Tenth IEEE Workshop on Statistical Signal and Array Processing, 2000, p. 463–466
    3. 3)
      • Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts
    4. 4)
      • Micro-Doppler analysis of vibrating targets in SAR
    5. 5)
      • Micro-Doppler radar signatures for intelligent target recognition
    6. 6)
      • Micro-Doppler analysis of rotating target in SAR
    7. 7)
    8. 8)
      • Greneker, G., Geisheimer, J., Asbell, D.: `Extraction of micro-Doppler from vehicle target at X-band frequency', Proc. SPIE on Radar Technology, 2001, 4374
    9. 9)
      • Doppler signature measurements of an Mi-24 Hind-D helicopter at 92 GHz, ARL-TR-1637
    10. 10)
    11. 11)
      • Sommer, H., Salerno, J.: `Radar target identification system', U.S. Patent 3, 1971, p. 614–779
    12. 12)
      • Tremblay, F.: `Generalization of the DREO radar jet engine modulation algorithm', DREO TR 1995-1199, 1995
    13. 13)
      • Human walking estimation with radar
    14. 14)
      • A high-resolution Doppler model of human gait
    15. 15)
      • Recognizing people by their gait: the shape of motion
    16. 16)
      • Analyzing and recognizing walking figures in XYT
    17. 17)
      • A method for sonar based recognition of walking people
    18. 18)
      • Weir, R.F., Childress, D.S.: `A new method of characterizing gait using a potable, real-time, ultrasound ranging device', Proc. 19th Int. Conf, 1997, IEEE Engineering in Medicine and Biology Society, p. 1810–1812
    19. 19)
      • Strengths and limitations of the Fourier method for detecting accelerating targets by pulse Doppler radar
    20. 20)
      • Time-frequency analysis
    21. 21)
      • Application of adaptive time-frequency algorithm for focusing distorted ISAR images from simulated and measured radar data
    22. 22)
      • Detection of a maneuvering air target in sea-clutter using joint time-frequency analysis techniques
    23. 23)
      • Fusion of time-frequency distributions and applications to radar signals
    24. 24)
    25. 25)
      • Wavelet Tool-box
    26. 26)
      • Martin, J., Mulgrew, B.: `Analysis of theoretical radar return signal from aircraft propeller blades', IEEE 1990 Int. Radar Conf., 1990, p. 569–572
    27. 27)
      • Marple, S.L.: `Large dynamics range time-frequency signal analysis with application to helicopter Doppler radar data', ISPA Conf., 2001
    28. 28)
      • Zediker, M.S., Rice, R.R., Hollister, J.H.: `Method for extending range and sensitivity of a fiber optic micro-Doppler system and apparatus therefore', U.S. Patent 6,847,817, December 1998
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