Science China Information Sciences

, Volume 53, Issue 5, pp 1056–1066 | Cite as

Polarization filtering technique based on oblique projections

Research Papers


Based on the theory of polarization filtering and the merits of interference suppressions when adopting oblique projections, a novel polarization filtering algorithm is proposed in this paper. The proposed method can effectively separate the target signal and interference without additional transformation and compensation processing, and the target does not suffer distortions after separation. The suggested scheme is still valid when the target and interference hold the same polarized angle but different phase difference in polarized angle. We extend the application to the scope of known target polarization but unknown interference polarization, finding that the interference is restrained and the amplitude/phase of the target are both totally kept. Theoretic analysis and mathematical deduction show that the proposed scheme is a valid and simple implementation. Simulation results also demonstrate that the suggested method can obtain better filtering performance than the conventional polarization filtering (CPF) and the null-phase-shift polarization filtering (NPSPF). It is proved that the proposed OPPF is an extension to the CPF and the NPSPF, and it develops the theory of polarization filtering effectively.


oblique projection polarization filtering polarization oblique projection operators signal separation interference suppression 


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  1. 1.
    Mao X P, Liu Y T, Deng W B. Null phase-shift instantaneous polarization filter (in Chinese). Acta Electron Sin, 2004, 32: 1495–1498Google Scholar
  2. 2.
    Mao X P, Liu Y T, Deng W B. Frequency domain null phase-shift polarization filter (in Chinese). Acta Electron Sin, 2008, 36: 537–542Google Scholar
  3. 3.
    Mao X P, Liu Y T. Validity of polarization filtering technique (in Chinese). J Harbin Institute Tech (Nat Sci), 2002, 34: 577–580Google Scholar
  4. 4.
    Mao X P, Liu Y T. Null phase-shift polarization filtering for high-frequency radar. IEEE Trans AES, 2007, 43: 1397–1408Google Scholar
  5. 5.
    Giuli D. Suboptimum adaptive polarization cancellers for dual-polarization radars. Proceed IEE Pt. F, 1988, 135: 60–62Google Scholar
  6. 6.
    Poelman A J. Virtual polarization adaptation-A method of increasing detection capability of a radar system through polarization-vector processing. Proceed IEE Pt. F, 1981, 128: 261–269Google Scholar
  7. 7.
    Poelman A J, Guy J R F. Multinotch logic-product polarization suppression filters-A typical design example and its performance in a rain clutter environment. Proceed of IEE Pt, F, 1984, 131: 383–396Google Scholar
  8. 8.
    Mao X P, Mark J W. A polarization UWB receiver with narrowband interference suppression capability. In: Proceedings of WCNC, Hong Kong, China, 2007. 1639–1643Google Scholar
  9. 9.
    Cao B, Liu A J, Mao X P, et al. An oblique projection polarization filter. In: Proceedings of WiCOM, Dalian, China, 2008. 1893–1896Google Scholar
  10. 10.
    Behrens R T, Scharf L L. Signal processing applications of oblique projection operators. IEEE Trans Signal Process, 1994, 42: 1413–1424CrossRefGoogle Scholar
  11. 11.
    Piet V, Marc M. Two deterministic blind channel estimation algorithms based on oblique projections. Signal Process, 2000, 80: 481–495CrossRefGoogle Scholar
  12. 12.
    Chen M H, Wang Z Y. Subspace tracking in colored noise based on oblique projection. In: Proceedings of ICASSP, III, Toulouse, France, 2006. 556–559Google Scholar
  13. 13.
    Scharf L L, Friedlander B. Matched subspace detectors. IEEE Trans Signal Process, 1994, 42: 2146–2157CrossRefGoogle Scholar
  14. 14.
    Neira L R. Oblique matching pursuit. IEEE Signal Process Lett, 2007, 14: 703–706CrossRefGoogle Scholar
  15. 15.
    Yu X, Tong L. Joint channel and symbol estimation by oblique projections. IEEE Trans Signal Proces, 2001, 49: 3074–3083CrossRefGoogle Scholar
  16. 16.
    Remy B, Guillaume B. Oblique projections for direction-of-arrival estimation with prior knowledge. IEEE Trans Signal Process, 2008, 56: 1374–1387CrossRefGoogle Scholar
  17. 17.
    McCloud M L, Scharf L L. A new subspace identification algorithm for high-resolution DOA estimation. IEEE Trans Antenn Propagat, 2002, 50: 1382–1390CrossRefMathSciNetGoogle Scholar
  18. 18.
    Huang J Y, Wang Y P. The application of Weibull distribution in prediction for the rain induced depolarization of millimeter waves (in Chinese). Acta Electron Sin, 1993, 21: 93–96Google Scholar
  19. 19.
    Yang R K, Huang J Y, Lv X H. Identification for the rain induced depolarization discrimination in millimeter wave propagation (in Chinese). J XiDian Uni (Nat Sci), 2000, 27: 487–490Google Scholar
  20. 20.
    Huang J Y, Chen L H. Analysis on attenuation and depolarization induced by the rain n millimeter wave (in Chinese). Chin J Radio Sci, 1993, 8: 29–40Google Scholar
  21. 21.
    Zheng L F, Liu G L. Adaptive compensation techniques for rain depolarization at millimeter wavelength (in Chinese). J XiDian Univ (Nat Sci), 1989, 16: 185–196Google Scholar
  22. 22.
    Antoine R, Jocelyn C, Jerome I M. Estimation of polarization parameters using time-frequency representations and its application to waves separation. Signal Process, 2006, 86: 3714–3731MATHCrossRefGoogle Scholar
  23. 23.
    Coon J, Sandell M, Beach M, et al. Channel and noise variance estimation and tracking algorithm for unique-word based single-carrier systems. IEEE Trans Wirel Commun, 2006, 5: 1488–1496CrossRefGoogle Scholar
  24. 24.
    Boumard S. Novel noise variance and SNR estimation algorithm for wireless MIMO OFDM systems. Proceed GLOBECOM, 2003, 3: 1330–1334Google Scholar

Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • QinYu Zhang
    • 1
  • Bin Cao
    • 1
  • Jian Wang
    • 1
  • NaiTong Zhang
    • 1
  1. 1.Communication Engineering Research Center, Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenChina

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