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http://dx.doi.org/10.6109/jkiice.2007.11.3.600

Design of LMS based adaptive equalizer using Discrete Multi-Wavelet Transform  

Choi, Yun-Seok (삼성전자 네트워크사업부)
Park, Hyung-Kun (한국기술교육대학교 정보기술공학부)
Abstract
In the next generation mobile multimedia communications, the broad band shot-burst transmissions are used to reduce end-to-end transmission delay, and to limit the time variation of wireless channels over a burst. However, training overhead is very significant for such short burst formats. So, the availability of the short training sequence and the fast converging adaptive algorithm is essential in the system adopting the symbol-by-symbol adaptive equalizer. In this paper, we propose an adaptive equalizer using the DWMT (discrete multi-wavelet transform) and LMS (least mean square) adaptation. The proposed equalizer has a faster convergence rate than that of the existing transform-domain equalizers, while the increase of computational complexity is very small.
Keywords
wavelet transform; least mean square; adaptive equalizer; DMWT;
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  • Reference
1 E. A. Lee, and D. G. Messersclunitt, Digital Communication, 2nd edition, Kluwer Academic, 1994
2 V. Strela, P. N. Heller, G. Strang, P. Topiwala, and C. Heil, 'The Application of Multiwavelet Filterbanks to Image Processing,' IEEE Transactions on Image Processing, Vol. 8, No.4, pp. 548-563, April 1999   DOI   ScienceOn
3 Y. Xinxing, J. Licheng, and Z. Jiankang, 'Design of orthogonal prefilter with the Strang-Fix condition,' IEE Electronics Letters, Vol. 35, No.2, pp. 117-119, Jan. 1999
4 T. D. Bui and G. Chen, 'Translate-Invariant Denoising Using Multiwavelets,' IEEE Trans. Signal Processing, Vol. 46, No. 12, pp. 3414-3420, Dec. 1998   DOI   ScienceOn
5 J. G. Proakis, Digital Communication, 3rd edition, MC Graw Hill, 1995
6 N. J. Bershad and P. L. Feintuch, 'A Normalized Frequency Domain LMS Adaptive Algorithm,' IEEE Trans. Acoust. Speech, Signal Processing, Vol. ASSP-34, No.3, pp. 452-461, June 1986
7 L. Feng and W. Xinmei, 'Wavelet based decision feedback equalizer,' IEE Electronics Letters, Vol. 33, No, 7, pp. 565-567, March 1997   DOI   ScienceOn
8 V. N. Parikh, and A. Z. Baraniecki, 'The Use of the Modified Escalator Algorithm to Improve the Performance of Transform-domain LMS Adaptive Filters,' IEEE Tr. Signal Processing., Vol. 46, No. 2, pp. 625-635, 1998   DOI   ScienceOn
9 J. S. Geronimo, D. P. Hardin, and P. R. Massopust, 'Fractal functions and wavelet expansions based on several scaling functions,' J. Approx. Theory, Vol. 78, pp. 373-401, 1994   DOI   ScienceOn
10 X. G. Xia, 'A New Prefilter Design for Discrete Multiwavelet Transforms,' IEEE Trans. Signal Processing, Vol. 46, No.6, pp. 1558-1570, June 1998   DOI   ScienceOn
11 F. Beaufays, 'Transform-Domain Adaptive Filters: An Analytical Approach,' IEEE Trans. Signal Processing, Vol. 43, No.2, pp. 422-431, Feb, 1995   DOI   ScienceOn
12 Samir Attallah, 'The Wavelet Transform-Domain LMS Algorithm: A More Practical Approach,' IEEE Trans. Circuits and Systems-II: Analog and Digital Signal Processing, Vol. 47, No.3, March 2000