Skip to main content
SpringerLink
Log in

Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar

  • Research Papers
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

In this paper, based on the processing results of measured clutter data in forward scattering radar, a special phenomenon that the clutter spectrum spread is insensitive to the wind speed and carrier frequency is observed. The pendulum model is first time introduced into the physical modeling and formation mechanism analysis of surface clutter, and the quantitative expression of clutter spectrum spread is analytically obtained. Under the assumption of pendulum model, the processing results of measured clutter data agree well with the results of theoretical analysis, which fully verifies the correctness of pendulum model and reveals the formation mechanism of surface clutter spectrum in forward scattering radar. Furthermore, according to the stability of clutter spectrum spread with respect to carrier frequencies and wind speed, the optimal cutoff frequencies of clutter filter can be obtained, which establishes the basis for moving target detection and accurate parameters estimation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Skolnik M I. RADAR Handbook. 2nd ed. New York: McGaw-Hill, 1990

    Google Scholar 

  2. Willis N J. Bistatic Radar. Boston, MA: Artech House Inc., 1991

    Google Scholar 

  3. Chernyak V S. Fundamentals of Multisite Radar Systems: Multistatic Radars and Multiradar Systems. 2nd ed. NV: Gordon and Breach Science Publishers, 1998

    Google Scholar 

  4. Cherniakov M. Bistatic Radar: Principles and Practice. Chichester: John Wiley & Sons Ltd., 2007

    Google Scholar 

  5. Chen B H. The Reflectivity of Radar Target (in Chinese). Beijing: National Defense Industry Press, 1993

    Google Scholar 

  6. Billingsley J B, Farina A, Gini F, et al. Impact of experimentally measured Doppler spectrum of ground clutter cancellation on MTI and STAP. In: Proceedings of 1997 International Radar Conference. Edinburgh: IEEE Aerospace and Electronic Systems Society, 1997. 290–294

    Google Scholar 

  7. Chan H C. Radar sea-clutter at low grazing angles. IEE Proc, 1990, 137: 102–112

    Google Scholar 

  8. Chen K S, Fung A K. Frequency dependence of backscattered signals from forest components. IEE Proc, 1995, 142: 310–315

    Google Scholar 

  9. Jao J K. Amplitude distribution of composite terrain radar clutter and the K-distribution. IEEE Trans Anten Propag, 1984, 32: 1049–1062

    Article  Google Scholar 

  10. Sangston K J, Gini F, Greco M V, et al. Optimum and sub-optimum coherent radar detection in compound-Gaussian clutter. IEEE Trans Aerospace Electr Syst, 1999, 35: 445–457

    Article  Google Scholar 

  11. Farina A, Gini F, Greco M V, et al. Improvement factor for real sea-clutter Doppler frequency spectra. IEE Proc Radar Sonar Navig, 1996, 143: 341–344

    Article  Google Scholar 

  12. Lombardo P, Billingsley J B. A new model for the Doppler spectrum of windblown radar ground clutter. In: The Record of the 1999 IEEE Radar Conference. MA: IEEE Aerospace and Electronic Systems Society, 1999. 142–147

  13. Billingsley J B, Farina A, Gini F, et al. Statistical analyses of measured radar ground clutter data. IEEE Trans Aerospace Electr Syst, 1999, 35: 579–593

    Article  Google Scholar 

  14. Greco M, Gini F, Farina A, et al. Validation of windblown radar ground clutter spectral shape. IEEE Trans Aerospace Electr Syst, 2001, 37: 538–548

    Article  Google Scholar 

  15. Hu C, Long T, Zeng T. The possibility of isolated target 3-D position estimation and optimal receiver position determination in SS-BSAR. Sci China Ser F-Inf Sci, 2008, 51: 1372–1383

    Article  Google Scholar 

  16. Blyakhman A B, Runova I A. Forward scattering radiolocation bistatic RCS and target detection. In: The Record of the IEEE 1999 International Radar Conference. MA: IEEE Aerospace and Electronic Systems Society, 1999. 203–208

    Google Scholar 

  17. Chapurskiy V V, Sablin V N. SISAR: shadow inverse synthetic aperture radiolocation. In: The Record of the IEEE 2000 International Radar Conference. VA: Institute of Electronical and Elctronics Engineers, 2000. 322–328

    Chapter  Google Scholar 

  18. Long T, Hu C, Cherniakov M. Ground moving target signal model and power calculation in forward scattering micro radar. Sci China Ser F-Inf Sci, 2009, 52: 1704–1714

    Article  MATH  Google Scholar 

  19. Adbullah R S A. Forward scattering radar for vehicle classification. PHD thesis. Birmingham: School of Electronic, Electrical and Computer Engineering of the University of Birmingham, 2005

    Google Scholar 

  20. Cherniakov M, Abdullah R S A R, Jancovic P, et al. Forward scattering micro sensor for vehicle classification. In: 2005 IEEE International Radar Conference record. VA: Institute of Electronical and Electronics Engineers, 2005. 184–189

    Chapter  Google Scholar 

  21. Cherniakov M, Salous M, Abdullah R, et al. Forward scattering radar for ground targets detection and recognition. In: 2nd EMRS DTC Technical Conference. Edinburgh, 2005. A14–A19

  22. Cherniakov M, Abdullah R S A R, Jancovic P, et al. Automatic ground target classification using forward scattering radar. IEE Proc Radar Sonar Navig, 2006, 153: 427–437

    Article  Google Scholar 

  23. Overrein O, Navarro J, Shajpal V, et al. ISAR processing results from forward scatter radar measurements of ships. In: 2006 IEEE Conference on Radar. Shanghai, China, 2006. 560–564

  24. Hu C, Antoniou M, Cherniakov M. Quasi-optimal signal processing in ground forward scattering radar. In: 2008 IEEE Radar Conference. Rome: Curran Associates Inc., 2008. 1–6

    Google Scholar 

  25. Sizov V, Hu C, Antoniou M, et al. Vegetation clutter SPECTRAL properties in vhf/uhf bistatic Doppler radar. In: 2008 IEEE Radar Conference. Rome: Curran Associates Inc., 2008. 1–6

    Chapter  Google Scholar 

  26. Zeng H B, Hu C, Li T. The signal to noise ratio analysis of ground forward scattering radar. In: IET International Radar Conference 2009. Guilin: Institution of Engineering & Technology, 2009. 1–4

    Google Scholar 

  27. Hu C, Long T, Cherniakov M. Forward scattering micro radars for situation awareness. In: APSAR Conference. Xi’an, China, 2009. 1–4

  28. Sizov V, Cherniakov M, Antoniou M. Forward scattering radar power budget analysis for ground targets. IET Radar Sonar Navig, 2007, 1: 437–446

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Radar Research Laboratory, Department of Electronic Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Teng Long, Cheng Hu, Tao Zeng & XiaoLiang Li

Authors
  1. Teng Long
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cheng Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tao Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. XiaoLiang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cheng Hu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Long, T., Hu, C., Zeng, T. et al. Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar. Sci. China Inf. Sci. 53, 2310–2322 (2010). https://doi.org/10.1007/s11432-010-4085-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-4085-7

Keywords

Search

Navigation