2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)
DOI: 10.1109/icc.2002.996816
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Noise optimized eigenfilter design of time-domain equalizers for DMT systems

Abstract: -The design of time-domain equalizers or TEQs for discrete multitone modulation (DMT) systems has recently received much attention. In this paper, we present a generalization of one such design method which takes into account the noise observed in a DMT channel. Furthermore, we show how this generalization can be used for the design of fractionally spaced equalizers or FSEs. Experimental results are presented showing that our design method performs better than other known techniques. 1

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Cited by 11 publications
(9 citation statements)
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“…Since MDS TEQ design is quite similar to MSSNR TEQ design, except for a quadratic instead of a wall penalty function [73], the advantages and drawbacks mentioned in Section V-B also apply here.…”
Section: E Minimum Delay Spread (Mds)mentioning
confidence: 99%
“…Since MDS TEQ design is quite similar to MSSNR TEQ design, except for a quadratic instead of a wall penalty function [73], the advantages and drawbacks mentioned in Section V-B also apply here.…”
Section: E Minimum Delay Spread (Mds)mentioning
confidence: 99%
“…In a similar fashion to recently proposed delay spread equalizers [8], [9], we change the definition of matrix Y in (5) from H T G T GH to H T H. With this change, we aim to minimize the ratio of the weighted sum of ISI power over the total signal power instead of the windowed signal power. Mathematically we reach the same optimum as the original one but with fewer computations when searching for optimal delay.…”
Section: B Review Of the Min-isi Methodsmentioning
confidence: 99%
“…The MSSNR method maximizes the ratio of the energy of the effective channel impulse response inside a target window of ν + 1 samples to that outside the target window. Alternate objective functions include maximizing the ratio of the energy inside the target window to the total energy [9], [16], and minimizing (maximizing) the energy outside (inside) the target window while holding the energy inside (outside) the target window fixed. Finitelength MSSNR TEQs are approximately symmetric [10].…”
Section: Introductionmentioning
confidence: 99%
“…The optimal equalizer coefficients were found to be related to an eigenvector of a particular matrix. In [8], we generlized this method to also account for the noise present in the system. The equalizer coefficients were chosen to minimize an objective function consisting of a convex combination of a channel shortening objective and a noise-to-signal ratio objective.…”
Section: The Teq Desigin Problem 1 Introductionmentioning
confidence: 99%