Efficient Realization of an ADFE with a New Adaptive Algorithm

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.

Authors:

• N. Praveen Kumar
• Abhijit Mitra
• C. Ardil

Keywords:

• Decision feedback equalizer
• Adaptive algorithm
• Block based computation
• Set membership filtering.

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