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Volume 25 Issue 9
Sep.  2003
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Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.
Citation: Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.

Narrow-band interference rejection in PN spread spectrum systems using SVD method

  • Received Date: 2002-05-24
  • Rev Recd Date: 2002-11-22
  • Publish Date: 2003-09-19
  • When the strong tone interference exists in the Direct Sequence Spread Spec-trum(DSSS) system, the traditional linear prediction filter performs poorly. A system model employing the proposed SVD-based technique to reject the single-tone interference in a DSSS system is presented. Simulation results show that SVD method has strong interference sup-pression ability, especially SVD outperforms conventional LMS by a gain of 3dB at BER=10-2. Also the SVD methods avoids the convergence problem that the LMS algorithm has.
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  • Li Loh-Ming, L. B. Milstein, Rejection of narrowband interference in PN spread-spectrum systems using transversal filters [J]. IEEE Trans. on Commun.,1982,30(5), 925-928.[2]E. Masry, Closed-form analytical results for the rejection of narrowband interference in PN spreadspectrum systems Part I: Linear prediction filters [J]. IEEE Trans. on Commun., 1984, 32(8),888-896.[3]E. Masry, Closed-form analytical results for the rejection of narrowband interference in PN spreadspectrum systems Part II: Linear interpolation filters [J]. IEEE Trans. on Commun.,1985, 33(1),10-19.[4]S.Davidovici, E. G. Kanterakis, Narrow-band interference rejection using real-time Fourier transforms, IEEE Trans. on Commun. 1989, 37(7), 713-722.[5]M.V. Tazebay, A. V. Akansu, Adaptive subband transforms in time-frequency excisers for DSSS communication systems, IEEE Trans. on Signal Processing, 1995, 43(11), 2776-2782.[6]D.W. Tufts, R. Kumaresan, I. Kirsteins, Data adaptive signal estimation by singular value decomposition of a data matrix, Proc. IEEE, 1982, 70(6), 684-685.[7]B.F. Rice, M. Fechner, M. E. Wilhoyte, Multiple tone removal from short signal records using singular value decomposition, Conference record of the twenty-seventh Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 1993, vol.1,325-329.
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