Results 121 to 130 of about 738 (173)
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Transmitter induced cyclostationarity for blind channel equalization
IEEE Transactions on Signal Processing, 1997Summary: Fractional sampling has received considerable interest recently as a means of developing blind equalization techniques without resorting to higher order statistics. Instead, cyclostationarity introduced at the receiver by fractional sampling is exploited.
M K Tsatsanis
exaly +3 more sources
Conditional fuzzy clustering for blind channel equalization
Applied Soft Computing Journal, 2011In this study, the use of conditional Fuzzy C-Means (CFCM) aimed at estimation of desired states of an unknown digital communication channel is considered for blind channel equalization. In the proposed CFCM, a collection of estimated centers is treated as a set of pre-defined desired channel states, and used to extract channel output states.
Soowhan Han
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Direct multiple-channel blind equalization
Circuits, Systems, and Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruey-Wen Liu
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Concurrent blind deconvolution for channel equalization
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2002The constant modulus algorithm (CMA) is recognized as the most widely used algorithm in blind channel equalization practice. However, the CMA cost function exhibits local minima, which often leads to ill-convergence. This paper proposes a concurrent equalizer, in which a least mean square (LMS) equalizer operates cooperatively with a CMA equalizer ...
Fernando César Comparsi de Castro +2 more
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Blind equalization of a class of IIR channel
Proceedings. Sixth IEEE Symposium on Computers and Communications, 2002We examine some properties associated with twice oversampled IIR channels, and suggest a novel blind equalization scheme. We note that a twice oversampled IIR channel is equivalent to a single-channel feedback section in cascade with a two-channel feedforward section.
David F. Naughton, Anthony D. Fagan
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Blind equalizers for multipath channels with best equalization delay
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999Previous studies show that equalizers with different equalization delays achieve different performances. The best performed equalizer is not necessarily the one with 0-delay, and often not the case when the channel is non-minimum-phase. In this paper, a blind channel equalization algorithm is presented, by which equalizers with all possible ...
Hui Luo, Ruey-Wen Liu
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Semi Blind Bussgang Equalization for Sparse Channels
2007 15th International Conference on Digital Signal Processing, 2007This paper addresses the problem of semiblind equalization for long sparse channels using a sparse equalizer. We formulate the equalization problem following a Bussgang approach, derive the coherent MMSE input synbol estimator, and assess the performances of the analyzed semi-blind Bussgang equalizer in typical sparse channels.
COLONNESE, Stefania +3 more
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Optimal blind equalization of Gaussian channels
1993In this paper we show that a recurrent version of a Radial Basis Functions network can compute optimal symbol-by-symbol decissions for equalizing Gaussian channels in digital communication systems, when the (linear or not) channel response and the noise variance are known.
Jesús Cid-Sueiro +2 more
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IEEE Potentials, 1999
Signals that pass through a channel undergo various forms of distortion. One very common type of distortion is intersymbol interference, or ISI. ISI is caused by interference from the symbols that were transmitted before and after the given symbol. ISI-induced errors can cause the receiver to misinterpret the received samples.
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Signals that pass through a channel undergo various forms of distortion. One very common type of distortion is intersymbol interference, or ISI. ISI is caused by interference from the symbols that were transmitted before and after the given symbol. ISI-induced errors can cause the receiver to misinterpret the received samples.
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A Novel Approach for Blind Channel Equalization
2008The Constant Modulus Algorithm (CMA), while the most commonly used blind equalization technique, converges very slowly. The convergence rate of the CMA is quite sensitive to the adjustment of the step size parameter used in the update equation as in the Least Mean Squares (LMS) algorithm. A novel approach in adjusting the step size of the CMA using the
Ali Özen +5 more
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