Skip to main content
Log in

Design and performance analysis of orthogonal coding signal in MIMO-SAR

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

Abstract

Multi-input multi-output (MIMO) radar which has evident advantages in many applications is a new radar system. Applying the MIMO technique to the earth observing synthetic aperture radar (SAR) system offers effective ways for the improvement of high resolution and wide swath imaging and ground moving target indication (GMTI) systems. Designing the optimal orthogonal waveform is a crucial problem in the research on MIMO radar. First, the index definition of synthetic integrated side-lobe level ratio (ISLR) is proposed by focusing on the SAR application and considering the cross-correlation energy influences between orthogonal coding signals with the same frequency band. Second, it is theoretically demonstrated that the performance of synthetic ISLR of orthogonal coding signals with the same frequency band cannot meet the demands of SAR imaging, which has been proved by one-dimensional numerical simulation. Third, it has been shown through numerical simulation that the performance of synthetic ISLR of orthogonal coding signals still cannot be improved by dealing with the mismatched filtering. Finally, a set of orthogonal phase coding signals are designed for multiple MIMO-SAR antennas. The conclusions are verified through MIMO-SAR imaging and InSAR simulation experiments.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Fishler E, Haimovich A, Blum R, et al. MIMO radar: An idea whose time has come. In: Proceedings of IEEE Radar Conference, Philadelphia, USA, 2004. 71–78

  2. Fishler E, Haimovich A, Blum R, et al. Performance of MIMO radar systems: Advantages of angular diversity. In: Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2004. 7–10

  3. Lehmann N. Some contributions on MIMO radar. Dissertation for Doctoral Degree. Newark: New Jersey Institute of Technology, 2007

    Google Scholar 

  4. He Z S, Han C L, Liu B. MIMO radar and its technical characteristic analyses. Acta Electron Sin, 2005, 33: 2441–2445

    Google Scholar 

  5. Rabideau D J, Parker P. Ubiquitous MIMO multifunction digital array radar. In: Proceedings of 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2003. 1057–1064

  6. Deng H. Polyphase code design for orthogonal netted radar systems. IEEE Trans Signal Process, 2004, 52: 3126–3135

    Article  Google Scholar 

  7. Deng H. Discrete frequency-coding waveform design for netted radar systems. IEEE Signal Process Lett, 2004, 11: 179–182

    Article  Google Scholar 

  8. Liu B, He Z S, Zeng J K, et al. Polyphase orthogonal code design for MIMO radar systems. In: Proceedings of International Conference on Radar, Shanghai, China, 2006. 113–116

  9. Liu B, He Z S. Orthogonal discrete frequency-coding waveform design for MIMO radar (in Chinese). J Electron, 2008, 25: 472–476

    MathSciNet  Google Scholar 

  10. Mittermayer J, Martinez J M. Analysis of range ambiguity suppression in SAR by up and down chirp modulation for point and distributed targets. In: Proceedings of IGARSS, Toulouse, France, 2003. 4077-4079

  11. Blunt S D, Gerlach K. Adaptive pulse compression via MMSE estimation. IEEE Trans Aerospace Electron Syst, 2006, 42: 572–584

    Article  Google Scholar 

  12. Cumming I G, Wong F H. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation. Norwood: Artech House, Inc, 2005

    Google Scholar 

  13. Krieger G, Gebert N, Moreira A. Multidimensional waveform encoding: A new digital beam-forming technique for synthetic aperture radar remote sensing. IEEE Trans Geosci Remote Sens, 2008, 46: 31–46

    Article  Google Scholar 

  14. Levanon N, Mozeson E. Radar Signals. New York: John Wiley & Sons, Inc, 2004

    Book  Google Scholar 

  15. Lin M Y, Ke Y A. Radar Signal Theory. Beijing: National Defense Industrial Press, 1981

    Google Scholar 

  16. Sarwate D V, Pursley M B. Cross-correlation properties of pseudorandom and related sequences. Proc IEEE, 1980, 68: 593–618

    Article  Google Scholar 

  17. Oppenheim A V, Schafer R W, Buck J R. Discrete-Time Signal Processing. New Jersey: Prentice-Hall, Inc, 1999

    Google Scholar 

  18. Achroyd M H, Ghani F. Optimum mismatched filters for side-lobe suppression. IEEE Trans Aerospace Electron Syst, 1973, 10: 214–218

    Article  Google Scholar 

  19. Baden J M, Cohen M N. Optimal peak side-lobe filters for biphase pulse compression. In: Proceedings of IEEE International Radar Conference, Arlington, USA, 1990. 249–252

  20. Bamler R. The SRTM mission: A world-wide 30 m resolution DEM from SAR interferometry in 11 days. In: Fritch D, Spiller R, eds. Photogrammetric Week. Heidelberg: Wichmann Verlag, 1999. 145–154

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bo Zou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zou, B., Dong, Z. & Liang, D. Design and performance analysis of orthogonal coding signal in MIMO-SAR. Sci. China Inf. Sci. 54, 1723–1737 (2011). https://doi.org/10.1007/s11432-011-4284-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-011-4284-x

Keywords

Navigation