Skip to main content
SpringerLink
Log in

MIMO-SAR waveforms separation based on virtual polarization filter

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

Abstract

The unwanted coupling exists inevitably among multiple orthogonal waveforms in a same frequency area for multiple-input and multiple-output synthetic aperture radar (MIMO-SAR). In this paper, a new polarized MIMO-SAR model is established with two transmitting antennas and multiple receiving antennas at first. Then, a virtual polarization filter (VPF) is proposed to separate superposed returns caused by multiple transmitted waveforms based on detection on the polarized parameters via particle swarm optimizer (PSO). Compared with the conventional matched filter to separate the orthogonal waveforms, it is shown that the coupling noises can be significantly suppressed by the proposed VPF-based method and the orthogonality is not necessary among different transmitting waveforms. Finally, experimental data experiments are also provided to demonstrate the effectiveness of the proposed method.

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. Cumming I G, Wong F H. Digital processing of synthetic aperture radar data: algorithms and implementation. Norwood: Artech House, 2005

    Google Scholar 

  2. Currie A, Brown M A. Wide-swath SAR. IEE Proc-Radar Sonar Navig, 1992, 139: 122–135

    Google Scholar 

  3. Xu J, Zuo Y, Xia B, et al. Ground moving target signal analysis in complex image domain for multichannel SAR. IEEE Trans Geosci Remot Sen, 2012, 50: 538–551

    Article  Google Scholar 

  4. Xie W, Zhang X C, Shi J. MIMO antenna array design for airborne down-looking 3D imaging SAR. In: Proceedings of 2nd International Conference on Signal Processing Systems (ICSPS), Dalian, 2012. 452–456

    Google Scholar 

  5. Forsythe K W, Bliss O W. MIMO Radar: Concepts, Performance Enhancements, and Applications. Hoboken: John Wiley & Sons, 2009. 65–121

    Google Scholar 

  6. Wang L B, Xu J, Peng S B, et al. Optimal linear array configuration and DOF tradeoff for MIMO-SAR. Chin J Electron, 2011, 20: 380–384

    Google Scholar 

  7. Xu J, Dai X Z, Xia X G, et al. Optimizations of multisite radar system with MIMO Radars for target detection. IEEE Trans Aerosp Electron Syst, 2011, 47: 2329–2343

    Article  Google Scholar 

  8. Ender J H G. MIMO-SAR. In: Proceedings of International Radar Symposium (IRS), Cologne, 2007. 580–588

    Google Scholar 

  9. Liao M, Xia X G, Zhang Y G. Cyclic delay transmission for unique word OFDM system. Sci China Inf Sci, 2014, 57: 082307

    Google Scholar 

  10. Wang W Q, Cai J. MIMO SAR using chirp diverse waveform for wide-swath remote sensing. IEEE Trans Aerosp Electron Syst, 2012, 48: 3171–3185

    Article  Google Scholar 

  11. Wang W Q. Mitigating range ambiguities in high-PRF SAR with OFDM waveform diversity. IEEE Geosci Remote Sens Lett, 2013, 10: 101–105

    Article  Google Scholar 

  12. Wang J, Liang X D, Ding C B, et al. An improved OFDM chirp waveform used for MIMO SAR system. Sci China Inf Sci, 2014, 57: 062306

    Google Scholar 

  13. Meng C Z, Xu J, Xia X G, et al. MIMO-SAR waveform separation based on inter-pulse phase modulation and range-Doppler decouple filtering. Electron Lett, 2013, 49: 420–422

    Article  Google Scholar 

  14. Krieger G. MIMO-SAR: opportunities and Pitfalls. IEEE Trans Geosci Remot Sen, 2014, 52: 2628–2645

    Article  Google Scholar 

  15. Zou B, Dong Z, Liang D N. Design and performance analysis of orthogonal coding signal in MIMO-SAR. Sci China Inf Sci, 2011, 54: 1723–1737

    Article  MathSciNet  Google Scholar 

  16. Poelman A J. Virtual polarisation adaptation a method of increasing the detection capability of a radar system through polarisation-vector processing. IEE Proc-Radar Sonar Navig, 1981, 128: 261–270

    Google Scholar 

  17. Kennedy J, Eberhart R C. Particle swarm optimizer. In: IEEE International Conference on Neural Networks, Perth, 1995. 1942–1948

    Google Scholar 

  18. Behrens R T, Scharf L L. Signal processing applications of oblique projection operators. IEEE Trans Signal Process, 1994, 42: 1413–1424

    Article  Google Scholar 

  19. Mao X P, Liu A J, Deng W B, et al. An oblique projecting polarization filter. Acta Electron Sin, 2010, 38: 2003–2008

    Google Scholar 

  20. Sabuncu M R. Entropy-Based Image Registration. Dissertation for the Doctoral Degree. Princeton: Princeton University, 2006

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    CangZhen Meng, Jian Yang & YingNing Peng

  2. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Jia Xu, Feng Liu, Teng Long & ErKe Mao

  3. Air force Early Warning Academy, Wuhan, 430019, China

    CangZhen Meng

  4. Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA

    Xiang-Gen Xia

Authors
  1. CangZhen Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jia Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiang-Gen Xia
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Feng Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Teng Long
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. ErKe Mao
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jian Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. YingNing Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Jia Xu or Feng Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Meng, C., Xu, J., Xia, XG. et al. MIMO-SAR waveforms separation based on virtual polarization filter. Sci. China Inf. Sci. 58, 1–12 (2015). https://doi.org/10.1007/s11432-014-5233-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-014-5233-2

Keywords

Search

Navigation