DocumentCode
1649681
Title
BAAD: Bidirectional Arbitrated Adaptive DFE
Author
Gang Wang ; Ebert, J.-P. ; Kraemer, Rolf
Author_Institution
IHP GmbH, Frankfurt
fYear
2006
Firstpage
1
Lastpage
4
Abstract
This paper presents a bidirectional arbitrated adaptive DFE (BAAD) algorithm that enables the use of low- complexity adaptive DFE in the bidirectional equalization framework. Through converting a nonminimum phase channel into two near minimum phase channels, which facilitate concurrent equalization using two DFE´s with short feedforward filters in a time-forward and a time-reverse directions and the application of the existing approximate channel inverse initialization method, we overcome the slow and/or ill convergence problem of the two adaptive DFE´s in BAAD algorithm. In terms of computational complexity, the BAAD algorithm is more amenable to practical implementation than the existing bidirectional arbitrated DFE (BAD) algorithm that necessitates long FFF and computationally intensive minimum- mean-square-error DFE (MMSE-DFE). Numerical simulation results of BAAD algorithm corroborate its effectiveness.
Keywords
adaptive filters; decision feedback equalisers; least mean squares methods; bidirectional arbitrated adaptive DFE; channel inverse initialization method; computational complexity; decision feedback equalization algorithm; feedforward filters; intensive minimum-mean-square-error; nonminimum phase channel; AWGN; Bit error rate; Blind equalizers; Computational complexity; Convergence; Decision feedback equalizers; Field-flow fractionation; Filters; Intersymbol interference; Maximum likelihood estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Sarnoff Symposium, 2006 IEEE
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-0002-7
Type
conf
DOI
10.1109/SARNOF.2006.4534797
Filename
4534797
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