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Volume 26 Issue 9
Sep.  2004
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Gao Shou-chuan, Huang Chun-lin, Su Yi. Principal Component Analysis Method to Suppress TX/RX Coupled Interference[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1461-1467.
Citation: Gao Shou-chuan, Huang Chun-lin, Su Yi. Principal Component Analysis Method to Suppress TX/RX Coupled Interference[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1461-1467.

Principal Component Analysis Method to Suppress TX/RX Coupled Interference

  • Received Date: 2003-04-19
  • Rev Recd Date: 2003-07-11
  • Publish Date: 2004-09-19
  • In a transient signal system, the TX/RX coupled interference is one of principle interferences and has great influence to the system capability, especially to the near field remote sensing system such as Surface Penetrating Radar(SPR). Suppression of the coupled interference is very important for the system performance. With consideration of the sys-tem operating condition, the signal and system character, realization object of the signal processing ,thc Principal Component Analysis (PCA) method is employed. The validity of the method for the engineering application is demonstrated with theoretical analysis and experiments in this paper, and it can bo applied to real-time processing.
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  • Boryssenko A, Boryssenko O, Lishichenko A, et al.. Inspection of internal structure of walls by subsurface radar. SPIE, 2000, 4084: 32-35. [2]Umberto K, Vittorio J. Multitarget detection/tracking for monostatic ground penetrating radar:application to pavement profiling. IEEE Trans. on Geoscience and Remote sensing, 1999, 37(1):383-394. [3]van der Merwe A, Gupta I J. A noval signal processing technique for clutter reduction in GPR measurements of small, shallow land mines. IEEE Trans. on Geoscience and Remote sensing,2000, 38(6): 2627-2637. [4]Salvati J L S, Chen C C, Johnson J T. Theoretical study of a surface clutter reduction algorithm.IEEE Trans. on Geoscience and Remote sensing, 1998, 36(3): 1460-1462. [5]Larsson E G, Li J, Habersat J, et al.. Removal of surface return in ground-penetrating radar data.SPIE, 1999, 4394: 764-775. [6]Gunatilaka A H, Baertlein B A. A subspace decomposition technique to improve GPR imaging of anti-personnel mines. SPIE, 1997, 4038: 1008-1018. [7]Karlsen B, Jakobsen K B, Larsen J, et al.. Mine detection using SF-GPR: A signal processing approach for resolution enhancement and clutter reduction. SPIE, 1999, 4394: 817-827. [8]Osum N, Ueno K. Detection of buried plant. IEE Proc.-Special Issue on Subsurface Radar, 1988,135(4): 330-342.
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