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

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

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

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Radar, Sonar & Navigation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

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.

Inspec keywords: radar signal processing; feature extraction; Doppler radar; motion estimation; wavelet transforms

Other keywords: inverse wavelet transform; radar micro-Doppler signatures; wavelet transform method; m-D feature extraction; time-frequency analysis; helicopter; motion parameters

Subjects: Signal processing and detection; Radar equipment, systems and applications; Integral transforms in numerical analysis

References

    1. 1)
      • T. Thayaparan , S. Kennedy . Detection of a maneuvering air target in sea-clutter using joint time-frequency analysis techniques. IEE Proc., Radar Sonar Navig. , 1 , 11 - 18
    2. 2)
      • T. Thayaparan , S. Abrol . (2005) Micro-Doppler analysis of rotating target in SAR.
    3. 3)
      • J.L. Geisheimer , E.F. Greneker , W.S. Marshall . (2002) A high-resolution Doppler model of human gait.
    4. 4)
      • J. Li , H. Ling . Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts. IEE Proc., Radar Sonar Navig. , 4 , 284 - 291
    5. 5)
      • V.C. Chen , H. Ling . (2002) Time-frequency transform for radar imaging and signal analysis.
    6. 6)
      • T. Thayaparan . (2004) Micro-Doppler radar signatures for intelligent target recognition.
    7. 7)
      • A.M. Sabatini , V. Colla . A method for sonar based recognition of walking people. Robot. Autonomous Syst. , 117 - 126
    8. 8)
      • T. Thayaparan , G. Lampropoulos , S.K. Wong , E. Riseborough . Application of adaptive time-frequency algorithm for focusing distorted ISAR images from simulated and measured radar data. IEE Proc., Radar Sonar Navig. , 4 , 213 - 220
    9. 9)
      • J.J. Little , J.E. Boyd . Recognizing people by their gait: the shape of motion. J. Computer Vision Res. , 2 , 1 - 32
    10. 10)
      • S.A. Niyogi , E.H. Adelson . Analyzing and recognizing walking figures in XYT. IEEE Proc. on Computer Vision Pattern Recognit , 469 - 474
    11. 11)
      • Greneker, G., Geisheimer, J., Asbell, D.: `Extraction of micro-Doppler from vehicle target at X-band frequency', Proc. SPIE on Radar Technology, 2001, 4374.
    12. 12)
      • P. van Dorp , F.C.A. Groen . Human walking estimation with radar. IEE Proc., Radar Sonar Navig. , 5 , 356 - 365
    13. 13)
      • G. Lampropoulos , T. Thayaparan , N. Xie . Fusion of time-frequency distributions and applications to radar signals. J. Electron. Imaging , 2 , 1 - 17
    14. 14)
      • Tremblay, F.: `Generalization of the DREO radar jet engine modulation algorithm', DREO TR 1995-1199, 1995.
    15. 15)
      • Martin, J., Mulgrew, B.: `Analysis of theoretical radar return signal from aircraft propeller blades', IEEE 1990 Int. Radar Conf., 1990, p. 569–572.
    16. 16)
      • A. Yasotharan , T. Thayaparan . Strengths and limitations of the Fourier method for detecting accelerating targets by pulse Doppler radar. IEE Proc., Radar Sonar Navig. , 2 , 83 - 88
    17. 17)
      • 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.
    18. 18)
      • M. Misiti , Y. Misiti , G. Oppenheim , J.-M. Poggi . (2002) Wavelet Tool-box.
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • Sommer, H., Salerno, J.: `Radar target identification system', U.S. Patent 3, 1971, p. 614–779.
    23. 23)
      • T. Sparr , B. Krane . Micro-Doppler analysis of vibrating targets in SAR. IEE Proc., Radar Sonar Navig. , 4 , 277 - 283
    24. 24)
      • 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.
    25. 25)
      • R.J. Wellman , J.L. Silvious . (1998) Doppler signature measurements of an Mi-24 Hind-D helicopter at 92 GHz, ARL-TR-1637.
    26. 26)
      • Marple, S.L.: `Large dynamics range time-frequency signal analysis with application to helicopter Doppler radar data', ISPA Conf., 2001.
    27. 27)
      • L. Cohen . (1995) Time-frequency analysis.
    28. 28)
      • 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.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn_20060103
Loading

Related content

content/journals/10.1049/iet-rsn_20060103
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address