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Volume 24 Issue 9
Sep.  2002
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Pan Jin, Jiao Licheng, Fang Yangwang. CDMA system based on multiWavelet[J]. Journal of Electronics & Information Technology, 2002, 24(9): 1167-1171.
Citation: Pan Jin, Jiao Licheng, Fang Yangwang. CDMA system based on multiWavelet[J]. Journal of Electronics & Information Technology, 2002, 24(9): 1167-1171.

CDMA system based on multiWavelet

  • Received Date: 2001-02-11
  • Rev Recd Date: 2001-08-17
  • Publish Date: 2002-09-19
  • A MultiWavelet-based Code-Division Multiple-Access (MW-CDMA) scheme is presented based on the application of recent results in multiwavelet analysis filter, preprocessing and balancing to communications area. In MW-CDMA, at first, the received signal is decomposed into the components in the orthogonal wavelet spaces, and then the multiuser demodulation is implemented in each wavelet space. Theoretical analyses and experimental results show that MW-CDMA systems suppress multiple-access interference and ambient noise well. Moreover, the scheme gives a new guideline of thought to reduce the computation for demodulating.
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  • S. Verd, Multiuser Detection, Cambridge, U K, Cambridge Univ. Press, 1998, Chapter4~Chapter7.[2]G. Woodward, B. S. Vuctic, Adaptive detection for DS-CDMA, Proc. IEEE, 1998, 86(7), 1413-1433.[3]X. Wang, H. V. Poor. Blind joint equalization and multiuser detection for DS-CDMA in unknowncorrelated noise, IEEE Trans. on Circuits and Systems-II: Analog and Digital Processing, 1999,CAS-II-46(7), 886-895.[4]A. Duel-Hallen, A family of multiuser decision-feedback detectors for synchronous code-divisionmultiple access channel, IEEE Trans. on Commun., 1995, COM-43(2/3/4), 421-434.[5]A.N. Akansu, P. Duhamel, X. Lin, Marc de Courville, Orthogonal transmultiplexers in communication: A review, IEEE Trans. on Signal Processing, 1998, SP-46(4), 979-995.[6]Q. Jiang, Orthogonal multiwavelets with optimum time-frequency resolution, IEEE Trans. onSignal Processing, 1998, SP-46(4), 830-844.[7]J. Pan, L. Jiao, L. Chen, Construction of orthogonal multiwavelets with short sequence via geneticalgorithm, Progress in Natural Science, 2000, 10(4), 294-301.[8]X.G. Xia, A new prefilter design for discrete multiwavelet transforms, IEEE Trans. on SignalProcessing, 1998, SP-46(6), 1558-1570.[9]X. Yang, L. Jiao, J. Pan, Prefilter for multiwavelet neural network, Progress in Natural Science,2000, 10(10), 780-786.[10]J. Lebrun, M. Vetterli, Balanced multiwavelets theory and design, IEEE Trans. on Signal Processing, 1998, SP-46(4), 1119-1125.[11]J.S. Geronimo, D. P. Hardin, P. R. Massopust. Fractal functions and wavelet expansions basedon several scaling functions, Journal of Approximation Theory, 1994, 78(3), 373-401.
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