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Wavelet Notch Filter Design of Spread-Spectrum Communication Systems for High-Precision Wireless Positioning

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Abstract

Spread-spectrum communication systems are now commonly used in the field of cellular telephone positioning. However, wireless positioning systems by low-power spread-spectrum communication are extremely vulnerable to high-power interference, which limits achievable measurement precision. In this paper, a bandwidth variable wavelet notch filter design method is proposed to suppress a large number of jammers in multiple locations with noise interfering with spread-spectrum systems. The filter uses combinations of Gaussian wavelets with optimal time-frequency localization and computational efficiency for real-time operation of denoising. The performance of the adaptive filter has been evaluated by experiments associated with a spread-spectrum communication system model employing a reliable noise detector to locate the filter notch. Experimental results demonstrate that the proposed wavelet notch filter removes the narrow-band interference in accordance with the corrupted frequency contents while minimizing signal distortion and information loss, which leads to high-precision wireless positioning.

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References

  1. A. Aldroubi, M. Unser, Wavelets in Medicine and Biology (CRC Press, Florida, 1996)

    MATH  Google Scholar 

  2. M.G. Amin, Interference mitigation in spread spectrum communication systems using time-frequency distributions. IEEE Trans. Signal Process. 45(1), 90–101 (1997)

    Article  MathSciNet  Google Scholar 

  3. J. Bas, A. Perez, M.A. Lagunas, Differential fuzzy filtering for adaptive line enhancement in spread spectrum communications. Signal Process. 86(5), 984–1009 (2006)

    Article  Google Scholar 

  4. L.F. Chaparro, R. Suleesathira, Non-stationary jammer excision in spread spectrum communications via discrete evolutionary and Hough transforms. Signal Process. 83(5), 1117–1133 (2003)

    Article  MATH  Google Scholar 

  5. J.W. Choi, N.I. Cho, Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter. Signal Process. 82(12), 2003–2013 (2002)

    Article  MATH  Google Scholar 

  6. C.K. Chui, An Introduction to Wavelets (Academic Press, Boston, 1992)

    MATH  Google Scholar 

  7. C.K. Chui, Wavelets: A Tutorial in Theory and Applications (Academic Press, New York, 1992)

    MATH  Google Scholar 

  8. I. Daubechies, Ten Lectures on Wavelet (SIAM, Philadelphia, 1992)

    Book  Google Scholar 

  9. J.F. Doherty, Linearly constrained direct-sequence spread-spectrum interference rejection. IEEE Trans. Commun. 42(234), 865–872 (1994)

    Article  Google Scholar 

  10. G.B. Folland, A. Sitaram, The uncertainty principle: a mathematical survey. J. Fourier Anal. Appl. 3(3), 207–233 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  11. R.A. Iltis, L.B. Milstein, Performance analysis of narrow-band interference rejection techniques in DS spread-spectrum systems. IEEE Trans. Commun. 32(11), 1169–1177 (1984)

    Article  MathSciNet  Google Scholar 

  12. E.D. Kaplan, Understand GPS: Principles and Applications, 2nd edn. (Artech House Publisher, Berlin, 2006)

    Google Scholar 

  13. R. Klukas, G. Lachapelle, M. Fattouche, Cellular telephone positioning using GPS time synchronization. GPS World 9(4), 49–54 (1998)

    Google Scholar 

  14. R.J. Landry, P. Mouyon, D. Lekaim, Interference mitigation in spread spectrum systems by wavelet coefficients thresholding. Eur. Trans. Telecommun. 9(2), 191–202 (1998)

    Article  Google Scholar 

  15. G.Y. Luo, D. Osypiw, M. Irle, Real-time condition monitoring by significant and natural frequencies analysis of vibration signal with wavelet filter and autocorrelation enhancement. J. Sound Vib. 236(3), 413–430 (2000)

    Article  Google Scholar 

  16. M.J. Medley, G.J. Saulnier, P.K. Das, Narrow-band interference excision in spread spectrum systems using lapped transforms. IEEE Trans. Commun. 45(11), 1444–1455 (1997)

    Article  Google Scholar 

  17. L.B. Milstein, Interference rejection techniques in spread spectrum communications. Proc. IEEE 76(6), 657–671 (1988)

    Article  Google Scholar 

  18. J.G. Proakis, Digital Communications. Electrical Engineering Series, 4th edn. (McGraw-Hill, New York, 2001)

    Google Scholar 

  19. K.D. Rao, M.N.S. Swamy, E.I. Plotkin, A nonlinear adaptive filter for narrowband interference mitigation in spread spectrum systems. Signal Process. 85(3), 625–635 (2005)

    Article  MATH  Google Scholar 

  20. L.A. Rusch, H.V. Poor, Multiuser detection techniques for narrowband interference suppression in spread spectrum communications. IEEE Trans. Commun. 43(3), 1725–1737 (1995)

    Article  MATH  Google Scholar 

  21. T.H. Stitz, M. Renfors, Filter-Bank-Based narrowband interference detection and suppression in spread spectrum systems. EURASIP J. Appl. Signal Process. 2004(8), 1163–1176 (2004)

    Article  Google Scholar 

  22. G. Strang, T. Nguyen, Wavelet and Filter Banks (Wellesley-Cambridge Press, Wellesley, 1996)

    Google Scholar 

  23. W. Sweldens, The lifting scheme: a construction of second generation wavelets. SIAM J. Math. Anal. 29(2), 511–546 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  24. M. Tazebay, A. Akansu, Adaptive subband transforms in time-frequency excisers for DSSS communication systems. IEEE Trans. Signal Process. 43(11), 2776–2782 (1995)

    Article  Google Scholar 

  25. J. Wang, E. Geraniotis, Narrow-band interference suppression in spread spectrum communication with iterative decoding, in Proceedings of IEEE Sixth International Symposium on Spread Spectrum Techniques and Applications, vol. 1, pp. 98–101 (2000)

    Google Scholar 

  26. M.I. Youssef, A.E. Emam, M. Abd Elghany, Direct sequence spread spectrum technique with residue number system. Int. J. Electr. Comput Syst. Eng. 3(4), 223–230 (2009)

    Google Scholar 

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Authors and Affiliations

  1. School of Physics and Electronic Engineering, Guangzhou University, Guangzhou, Guangdong, 510006, People’s Republic of China

    Gaoyong Luo

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  1. Gaoyong Luo
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Correspondence to Gaoyong Luo.

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Luo, G. Wavelet Notch Filter Design of Spread-Spectrum Communication Systems for High-Precision Wireless Positioning. Circuits Syst Signal Process 31, 651–668 (2012). https://doi.org/10.1007/s00034-011-9335-4

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  • DOI: https://doi.org/10.1007/s00034-011-9335-4

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