HIGH-PERFORMANCE ADAPTIVE DECISION FEEDBACK EQUALIZER BASED ON PREDICTIVE PARALLEL BRANCH SLICER SCHEME
Date Issued
2003
Date
2003
Author(s)
DOI
912218E002029
Abstract
Among existing works of high-speed
pipelined Adaptive Decision Feedback Equalizer (ADFE), the
pipelined ADFE using Relaxed Look-ahead technique
results in a substantial hardware saving than the parallel
processing or Look-ahead approaches. However, it suffers
from both the SNR degradation and slow convergence rate.
In this paper, we employ the Predictive Parallel Branch
Slicer (PPBS) to eliminate the dependencies of the present
and past decisions so as to reduce the iteration bound of
Decision Feedback Loop of the ADFE. By adding negligible
hardware complexity overheads, the proposed architecture
can help to improve the output Mean-square-error (MSE)
of the ADFE compared with the Relaxed Look-ahead ADFE
architecture. Moreover, we show the superior performance
of the proposed pipelined ADFE by theoretical derivations
and computer simulation results.
Publisher
臺北市：國立臺灣大學電子工程學研究所
Type
report
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