A Structure and Algorithm of Wideband Blind Equalizer Based on Subband Decomposition Technique

Zhang Wei; Jin Guang-ming; Dai Xu-chu

doi:10.3724/SP.J.1146.2007.01794

Volume 31 Issue 3

Dec. 2010

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(3): 689-693

Zhang Wei, Jin Guang-ming, Dai Xu-chu. A Structure and Algorithm of Wideband Blind Equalizer Based on Subband Decomposition Technique[J]. Journal of Electronics & Information Technology, 2009, 31(3): 689-693. doi: 10.3724/SP.J.1146.2007.01794

Citation:

Zhang Wei, Jin Guang-ming, Dai Xu-chu. A Structure and Algorithm of Wideband Blind Equalizer Based on Subband Decomposition Technique[J]. Journal of Electronics & Information Technology, 2009, 31(3): 689-693. doi: 10.3724/SP.J.1146.2007.01794

Citation:

PDF( 268 KB)

A Structure and Algorithm of Wideband Blind Equalizer Based on Subband Decomposition Technique

doi: 10.3724/SP.J.1146.2007.01794

Received Date: 2007-11-20
Rev Recd Date: 2008-04-29
Publish Date: 2009-03-19

Abstract

Abstract

In high speed wideband wireless communications, the duration of channels impulse response is about hundreds of symbol periods, which causes the convergence speed of linear blind equalizer to be much slower. Based on subband decomposition technique, a new structure and algorithm of the blind equalizer is proposed for high speed wideband wireless transmission. The proposed blind equalizer effectively combines the subband decomposition technique and sub-convolution method, and its convergence speed is faster than that of the traditional blind equalizer in high speed wideband transmission. On the other hand, since down-sampling and parallel processing of subband signals are used, the proposed structure possesses lower computational complexity, which is beneficial to its real-time realization in engineering applications. Computer simulations are presented to illustrate the efficiency of the new blind equalizer.

FullText(HTML)

References(1)

References

Mohamed Ibnkahla, Quazi Mehbubar, and Ahmed ItandaSulyman, et al.. High-speed satellite mobile communications:technologies and challenges[J].Proc. IEEE.2004, 92(2):312-339[2]Gray A, Srinivasan M, and Grebowsky G. An all-digital, highdata-rate parallel receiver. JPL TDA Progress Report 42-131,Nov.15, 1997.[3]Gray A. VLSI equalizer algorithm and architectures formulti-Gbps wireless Communications[C]. IEEE GlobeComm(C), San Antonio, TX, Nov.25-29, 2001: 315-319.[4]Schober W, Lansing F, Wilson K, and JPL E. Webb: NASA/GSFC, NASA high rate instrument study. NASA, JetPropulsion Lab, JPL Publication 99-4, Jan, 1999.[5]Dang Xiao-chuan, Wu You-shou, and Fu Jian. Feedbackfrequency-domain equalization for high data-rate parallelreceiver[C][J].2005 Proceedings 2005 International Conferenceon Communications, Circuits and Systems, May 27-3.2005, Vol.1:156-159[6]Shynk J J. Frequency-domain and multirate adaptivefiltering[J].IEEE Signal Processing Magazine.1992, 9(1):14-37[7]Diniz P S R. Adaptive Filtering: Algorithms and PracticalImplementation[M]. 2nd Ed, Kluwer Academic Publishers,2002: 295-312.[8]Proakis J G. Digital Communication[M]. 4th Ed, Mc-GrawHill International, 2000: 470-508.[9]Abrar S, Amin A, and Siddiq F. Stop-and-go square-contourblind equalization algorithms: Design and implementation[C].Proceedings of the IEEE Symposium on EmergingTechnologies, Sept.17-18, 2005: 157-162.[10]Yang J, Werner J J, and Dumont G. The multimodulus blindequalization and its generalized algorithms[J].IEEE J. onSelect. Areas in Commun.2002, 20(5):997-1015[11]Cochiere R E and Rabiner L R. Multirate Digital SignalProcessing[M]. Prentice-Hall, 1983: 297-313.

Relative Articles

Supplements(0)

Cited By

Proportional views