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Novel research on main-lobe jamming polarization suppression technology

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Abstract

A novel main-lobe blanketing interference suppression method which named as spatial virtual multiple channel concurrent polarization filter technology is proposed. It processes sample data using the slow varied polarization property of a scanning antenna. The orthogonal polarized signal and polarization states of the receiving signal can be obtained. The optimal polarization is then calculated for use in polarization filtering to achieve the objective of suppressing noise jamming. The effect of elevation measurement error on interference suppression performance is eliminated by concurrent processing. Theoretical and simulation results show that, this technology enabled self-polarization information processing for single polarized radar which improved its working performance.

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References

  1. Yang Z Q, Ni J L, Chu X B. Research on suppression technology of main lobe interference. Chinese J Radio Sci, 2003, 18: 147–152

    Google Scholar 

  2. Su B W, Wang Y L, Li R F. Main lobe interference canceling adaptive beamforming with the generalized side lobe canceling method via block matrix. Syst Eng Electron, 2005, 27: 1830–1832

    Google Scholar 

  3. Andrea C, Elisa G, Marco M. Contrast-optimization-based range profile autofocus for polarimetric stepped-frequency radar. IEEE Trans Geosci Remote, 2010, 48: 2049–4142

    Article  Google Scholar 

  4. Armando M, Shane R C, Iain H W. A polarimetric target detector using the huynen fork. IEEE Trans Geosci Remote, 2010, 48: 2357–2366

    Article  Google Scholar 

  5. dadjadi F A. Improved target classification using optimum polarimetric synthetic aperture radar signatures. IEEE Trans Aero Elec Sys, 2002, 38: 38–49

    Article  Google Scholar 

  6. Marco M, Elisa G, Amerigo C. Automatic target recognition by means of polarimetric ISAR images and neural networks. IEEE Trans Geosci Remote, 2009, 47: 3786–3794

    Article  Google Scholar 

  7. Jian Y, Dong G, Peng Y. Generalized optimizations of polarimetric contrast enhancement. IEEE Trans Geosci Remote, 2004, 1: 171–174

    Article  Google Scholar 

  8. Wang X S, Chang Y L, Dai D H. Band characteristics of SINR polarization filter. IEEE Trans Antenn Propag, 2007, 55: 1148–1154

    Article  Google Scholar 

  9. Rudge A W. Offset parabolic reflector antenna: a review. P IEEE, 1978, 66: 1592–1618

    Article  Google Scholar 

  10. Dai H Y, Wang X S, Luo J, et al. Spatial polarization characteristics and scattering matrix measurement of orthogonal polarization binary array radar. Sci China Ser F-Inf Sci, 2010, 53: 2687–2695

    Article  Google Scholar 

  11. Trees H L V. Detection, Estimation and Modulation Theory. New York: John Wiley Sons, 2001

    Book  Google Scholar 

  12. Poleman A J, Guy J R F. Multinotch logic-product polarization suppression filters-A typical design example and its performance in a rain clutter environment. P IEE, 1984, 131: 383–196

    Google Scholar 

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Correspondence to HuanYao Dai.

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Dai, H., Wang, X., Liu, Y. et al. Novel research on main-lobe jamming polarization suppression technology. Sci. China Inf. Sci. 55, 368–376 (2012). https://doi.org/10.1007/s11432-011-4471-9

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  • DOI: https://doi.org/10.1007/s11432-011-4471-9

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