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Efficient Realization of an ADFE with a New Adaptive Algorithm

Authors: Abhijit Mitra, C. Ardil, N. Praveen Kumar

Abstract:

Decision feedback equalizers are commonly employed to reduce the error caused by intersymbol interference. Here, an adaptive decision feedback equalizer is presented with a new adaptation algorithm. The algorithm follows a block-based approach of normalized least mean square (NLMS) algorithm with set-membership filtering and achieves a significantly less computational complexity over its conventional NLMS counterpart with set-membership filtering. It is shown in the results that the proposed algorithm yields similar type of bit error rate performance over a reasonable signal to noise ratio in comparison with the latter one.

Keywords: adaptive algorithm, Decision feedback equalizer, Block based computation, Set membership filtering

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083707

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References:


[1] E. F. Harrington, "A BPSK Decision-Feedback Equalization Method Robust to Phase and Timing Errors," IEEE Signal Processing Lett., vol. 12, no. 4, pp. 313-316, Apr. 2005.
[2] W. R. Wu and Y. M. Tsuie, "An LMS-Based Decision Feedback Equalizer for IS-136 Receivers," IEEE Trans.Commun., vol. 51, pp. 130- 143, Jan. 2002.
[3] I. A. Fevrier et. al., "Reduced Complexity Decision Feedback Equalization for Multipath channels with Large Delay Spreads," IEEE Trans. Commun., vol. 47, no. 6, pp. 927-936, June 1999.
[4] S. U. H. Qureshi, "Adaptive Equalization, " Proc.IEEE, vol. 73, no. 9, pp. 1349-1387, Sept. 1985.
[5] M. Reuter et. al., "Mitigating Error Propagation Effects in a Decision Feedback Equalizer," IEEE Trans. Commun., vol. 49, no. 11, pp. 2028- 2041, Nov. 2001.
[6] S. Haykin, Adaptive Filter Theory, 4th ed. Englewood Cliffs, NJ: Prentice Hall, 2001.
[7] N. J. Bershad, "Analysis of the Normalized LMS Algorithm with Gaussian Inputs," IEEE Trans. Acoust., Speech, Signal Processing, vol. 34, no. 4, pp. 793-806, Apr. 1986.
[8] M. Tarrab, and A. Feuer, "Convergence and Performance Analysis of the Normalized LMS Algorithm with Uncorrelated Data," IEEE Trans. Info. Theory, vol. 34, no. 4, pp. 680-691, July 1988.
[9] S. Gollamudi et. al., "Set-Membership Filtering and a Set-Membership Normalized LMS Algorithm with an Adaptive Step Size," IEEE Signal Processing Lett., vol. 5, no. 5, pp. 111-114, May 1998.
[10] A. Mitra, "A New Block-based NLMS Algorithm and Its Realization in Block Floating Point Format," Int. J. Info. Tech., vol. 1, no. 4, pp. 244-248, 2004.