NDLI: An efficient block adaptive decision feedback equalizer implemented in the frequency domain

Content Provider	IEEE Xplore Digital Library
Author	Berberidis, K. Karaivazoglou, P.
Copyright Year	1991
Abstract	In this paper, a new block adaptive decision feedback equalizer (DFE) implemented in the frequency domain is derived. The new algorithm is suitable for applications requiring long adaptive equalizers, as is the case in several high-speed wireless communication systems. The inherent "causality" problem appearing in the block adaptive formulation of the DFE equations is overcome by using tentative decisions in place of the unknown ones within each block. These tentative decisions are subsequently improved by using an efficient iterative procedure, which finally converges to the optimum decisions in a few iterations. This procedure is properly initialized by applying a minimization criterion that utilizes all the available information. The whole algorithm, including the iterative procedure, is implemented in the frequency domain and exhibits a considerable reduction in computational complexity, as compared with the conventional DFE, offering, at the same time, a noticeable increase in convergence speed. Additionally, the level of the steady-state MSE, which is achieved by the new algorithm, is practically insensitive to the block length.
Sponsorship	IEEE Signal Processing Society
Starting Page	2273
Ending Page	2285
Page Count	13
File Size	443396
File Format	PDF
ISSN	1053587X
Volume Number	50
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision feedback equalizers Frequency domain analysis Convergence Adaptive equalizers Intersymbol interference Iterative algorithms Nonlinear filters Noise cancellation Signal processing algorithms Wireless communication
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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