Skip to main content
Log in

Target models and waveform design for detection in MIMO radar

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

Abstract

In this paper, we propose a general target model for multiple-input multiple-output (MIMO) radar. Two types of targets are presented. For each type of target, we develop a corresponding optimum waveform designing method to optimize detection performance. Based on Chernoff-Stein lemma, we use relative entropy as the performance measure. We show that the optimum waveform designing method can obtain better detection performance than traditional orthogonal waveform designing method.

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. Li J, Stoica P. MIMO Radar Signal Processing. Hoboken: John Wiley & Sons, Inc., 2008

    Book  Google Scholar 

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

    Google Scholar 

  3. San Antonio G, Fuhrmann D R, Robey F C. MIMO radar ambiguity functions. IEEE J Sel Top Signal Process, 2007, 1: 167–177

    Article  Google Scholar 

  4. Lehmann N, Fishler E, Haimovich A, et al. Evaluation of transmit diversity in MIMO radar direction finding. IEEE Trans Signal Process, 2007, 55: 2215–2225

    Article  MathSciNet  Google Scholar 

  5. Chen C, Vaidyanathan P. A subspace method for MIMO radar space-time adaptive processing. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Hawaii, 2007. 2: 925–928

    Google Scholar 

  6. Bekkerman I, Tabrikian J. Target detection and localization using MIMO radars and sonars. IEEE Trans Signal Process, 2006, 54: 3873–3883

    Article  Google Scholar 

  7. Fishler E. Spatial diversity in radars-models and detection performance. IEEE Trans Signal Process, 2006, 54: 823–838

    Article  Google Scholar 

  8. Tang J, Li N, Wu Y, et al. On detection performance of MIMO radar: A relative entropy-based study. IEEE Signal Process Lett, 2009, 16: 184–187

    Article  Google Scholar 

  9. Bliss D, Forsythe K. Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution. In: Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 2003. 1: 54–59

    Google Scholar 

  10. Li J, Stoica P, Xu L, et al. On parameter identifiability of MIMO radar. IEEE Signal Process Lett, 2007, 14: 968–971

    Article  Google Scholar 

  11. Li J, Stoica P. MIMO radar with colocated antennas: Review of some recent work. IEEE Signal Process Mag, 2007, 24: 106–114

    Article  Google Scholar 

  12. Sammartino P, Baker C, Griffiths H. A comparison of algorithms for MIMO and netted radar systems. In: Proceedings of the 2nd International Waveform Diversity & Design Conference, Orlando, 2006. 22–27

    Google Scholar 

  13. Maio A, Lops M. Design principles of MIMO radar detectors. IEEE Trans Aerosp Electron Syst, 2007, 43: 886–897

    Article  Google Scholar 

  14. Wu Y, Tang J, Peng Y. Models and performance evaluation for multiple-input multiple-output space-time adaptive processing radar. IET Radar Sonar Navig, 2009, 3: 569–582

    Article  Google Scholar 

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

    Article  Google Scholar 

  16. Kay S. Waveform design for multistatic radar detection. IEEE Trans Aerosp Electron Syst, 2009, 45: 1153–1166

    Article  Google Scholar 

  17. Li J, Xu L, Stoica P, et al. Range compression and waveform optimization for MIMO radar: A Cramer-Rao bound based study. IEEE Trans Signal Process, 2008, 56: 218–232

    Article  MathSciNet  Google Scholar 

  18. He H, Stoica P, Li J. Designing unimodular sequence sets with good correlationsIncluding an application to MIMO radar. IEEE Trans Signal Process, 2009, 57: 4391–4405

    Article  MathSciNet  Google Scholar 

  19. Yang Y, Blum R. Minimax robust MIMO radar waveform design. IEEE J Sel Top Signal Process, 2007, 1: 147–155

    Article  Google Scholar 

  20. Tse D, Viswanath P. Fundamentals of Wireless Communication. Cambridge: Cambridge University Press, 2005. 35

    Book  MATH  Google Scholar 

  21. Cover T M, Thomas J A. Elements of Information Theory. 2nd ed. Hoboken: John Wiley & Sons, Inc., 2006. 383

    MATH  Google Scholar 

  22. Seber G. A Matrix Handbook for Statisticans. Hoboken: John Wiley & Sons, Inc., 2007. 56

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Tang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tang, J., Luo, J., Tang, B. et al. Target models and waveform design for detection in MIMO radar. Sci. China Inf. Sci. 57, 1–12 (2014). https://doi.org/10.1007/s11432-012-4719-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-012-4719-z

Keywords

Navigation