Skip to main content
SpringerLink
Log in

Improvement in detection with forward scattering radar

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

Abstract

Forward scattering radar (FSR) has advantages over traditional monostatic radar such as an enhanced radar cross section. Enhancement of the radar cross section can increase the detection range of the FSR system. This feature has renewed interest in FSR. The latest development of the FSR system for ground application does not consider a rough environment and there is no advanced signal processing technique for the detection procedure, which have delayed the deployment of FSR. Therefore, this paper analyzes a signal processing technique that extracts the Doppler signal scattered from a moving target under the influence of ground clutter, receiver noise and surrounding noise. The scattered Doppler signal is processed for target detection. Two methods, namely the use of the Hilbert transform and wavelet technique, are evaluated. Results show that target detection using a Hilbert transform is applicable only for certain conditions but target detection employing the wavelet technique is more robust against clutter and noise. An inclusive comparison of various wavelet threshold selection rules for different types of wavelet filters and levels of decomposition is conducted to study the effect on target detection with FSR. Two sets of field experiments were carried out to validate the proposed method, and target signals under the influence of large clutter were successfully detected using the proposed method with a confidence level exceeding 75%.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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. Introduction To Radar Systems. New York: McGraw-Hill, 1980

    Google Scholar 

  2. Blackman A B, Runova I A. Forward scattering radiolocation, bistatic RCS and target detection. In: Proceedings of IEEE International Radar Conference, Waltham, MA, USA, 1999. 203–208

  3. Glaser J I. Bistatic RCS of complex objects near forward scatter. IEEE Trans Aerospace Electron Syst, 1985, 21: 70–78

    Article  Google Scholar 

  4. Willis N J. Bistatic Radar. Maryland: Technology Service Corporation, 1995

    Google Scholar 

  5. Chernyak V. Fundamentals of Multisite Radar Systems. London: Gordon and Breach Science Publishers, 1998

    Google Scholar 

  6. Cherniakov M. Bistatic Radar: Principles and Practice. New York: John Wiley and Sons, Inc., 2007

    Book  Google Scholar 

  7. Blyakhman A. Multistatic forward scattering radar. In: PIERS Workshop on Advances in Radar Methods, Baveno, Italy, 1998. 107–113

  8. Myakinkov A V, Ryndyk A G. Space-time processing in three-dimensional forward scattering radar. In: Proceedings of the 4th International Conference on Antenna Theory and Techniques, Sevastopol, Ukraine, 2003. 355–358

  9. Gould D M, Orton R S, Pollard R J E. Forward scatter radar detection. In: Proceedings of RADAR, Edinburgh, UK, 2002. 36–40

  10. Chesnokov Y S, Krutikov M V. Bistatic RCS of aircrafts at the forward scattering radar. In: Proceedings of CIE International Conference of Radar, Beijing, China, 1996. 156–159

  11. Blackman A B, Ryndyk A G, Sidorov S B. Forward scattering radar moving object coordinate measurement. In: Proceedings of International Radar Conference, Washington DC, USA, 2002. 678–682

  12. Raja Abdullah R S A, Cherniakov M. Forward scattering radar for vehicles classification. In: Proceedings of VehCom International Conference, Birmingham, UK, 2003. 73–78

  13. Cherniakov M, Chapurskiy V V, Raja Abdullah R S A, et al. Short-range forward scattering radar. In: Proceedings of 2004 IEEE International Radar Conference, Philadelphia, PA, USA, 2004. 322–328

  14. Cherniakov M, Salous M, Kostylev V, et al. Analysis of forward scattering radar for ground target detection In: Proceedings of European Radar Conference, Paris, France, 2005. 145–148

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

    Article  Google Scholar 

  16. Chapurskiy V V, Sablin V N. SISAR: Shadow inverse synthetic aperture radiolocation. In: IEEE International Radar Conference, Alexandria, VA, USA, 2000. 322–328

  17. Long T, Hu C, Mikhail C. 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 

  18. Mohamed K H, Cherniakov M, Rasid M F A, et al. Automatic target detection using wavelet technique in forward scattering radar. In: Proceedings of European Radar Conference, Amsterdam, the Netherlands, 2008. 76–79

  19. Long T, Hu C, Zeng T. Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar. Sci China Inf Sci, 2010, 53: 2310–2322

    Article  Google Scholar 

  20. Hu C, Long T, Zeng T. Statistic characteristic analysis of forward scattering surface clutter in bistatic radar. Sci China Inf Sci, 2010, 53: 2675–2686

    Article  Google Scholar 

  21. Daniel L, Gashinova M, Cherniakov M. Maritime target cross section estimation for an ultra-wideband forward scatter radar network. In: Proceedings of European Radar Conference, Amsterdam, the Netherlands, 2008. 319

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

    Article  Google Scholar 

  23. Bo L, Liu Z, Gu T X. Weak LFM Signal detection based on wavelet transform modulus maxima denoising and other techniques. Int J Wavelets Multiresolut Inf Process, 2010, 8: 313–326

    Article  MATH  MathSciNet  Google Scholar 

  24. Lehmann V, Teschlke G. Wavelet based methods for improved wind profiler signal processing. Ann Geophys, 2001, 19: 825–836

    Article  Google Scholar 

  25. San Emeterio J L, Pardo E, Ramos A, et al. Ultrasonic grain noise reduction using wavelet processing: an analysis of threshold selection rules. In: Proceedings of ECNDT, Berlin, Germany, 2006. 1–8

  26. Mallat S A theory of multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Machine Intell, 1989, 11: 674–693

    Article  MATH  Google Scholar 

  27. Chiu C, Chuang C, Hsu C. Discrete wavelet transform applied on personal identity verification with ECG signal. Int J Wavelets Multiresolut Inf Process, 2009, 7: 341–355

    Article  MATH  Google Scholar 

  28. Huang Z, Fang B, He X, et al. Image denoising based on the dyadic wavelet transform and improved threshold. Int J Wavelets Multiresolut Inf Process, 2009, 7: 269–280

    Article  MATH  MathSciNet  Google Scholar 

  29. Sanjit K M. Digital Signal Processing. 3rd ed. San Francisco: McGraw-Hill, 2006

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wireless and Photonics Networks Research Centre, Universiti Putra Malaysia, Selangor, 43400, Malaysia

    Raja Syamsul Azmir Raja Abdullah, Mohd Fadlee A. Rasid & M. Khalafa Mohamed

Authors
  1. Raja Syamsul Azmir Raja Abdullah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohd Fadlee A. Rasid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Khalafa Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Raja Syamsul Azmir Raja Abdullah.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Raja Abdullah, R.S.A., Rasid, M.F.A. & Mohamed, M.K. Improvement in detection with forward scattering radar. Sci. China Inf. Sci. 54, 2660–2672 (2011). https://doi.org/10.1007/s11432-011-4476-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-011-4476-4

Keywords

Search

Navigation