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MMSE decision-feedback equalizers and coding. I. Equalization results
IEEE Transactions on Communications, 1995The minimum mean-squared-error decision-feedback equalizer (MMSE-DFE) has properties that suggest that it is a canonical equalization structure for systems that combine equalization with coded modulation. The structure and performance of the MMSE-DFE are succinctly derived using linear-estimation-theoretic principles in this first part of this two-part
John M. Cioffi +3 more
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Performance of rake-MMSE-equalizer for UWB communications
IEEE Wireless Communications and Networking Conference, 2005, 2005The performance of a joint Rake and minimum mean square error (MMSE) equalizer receiver for high data rate ultra-wideband communications is studied in this paper. The proposed receiver combats intersymbol interference by taking advantage of the Rake and equalizer structure.
Mohsen Eslami, Xiaodai Dong
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Direct semi-blind MMSE equalization for STBC
IEEE Signal Processing Letters, 2005A semi-blind method for minimum mean square square error (MMSE) equalization of space-time block coding (STBC) systems is proposed. By exploiting information from the redundancy in the structure of STBC as well as from the training symbols, MMSE equalization can be achieved without channel estimation.
Ding, Z., Ward, D.
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Innovations approach to MMSE waterfilling based equalizers
2006 IEEE International Symposium on Circuits and Systems, 2006Block equalizer structures formulated under minimum-mean-square-error (MMSE) criteria are known results which perform MMSE power allocation via eigenvector decomposition of certain defining channel dependent matrices. In a practical channel-estimate based scenario, however, performing such eigenvector decomposition is a formidable task.
Ricardo Merched, Are Hjørungnes
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An ML/MMSE estimation approach to blind equalization
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002Blind equalization of a communication channel is achieved by jointly estimating the deterministic channel coefficients and the random data sequence. The EM algorithm is used to determine the ML estimate of the channel. To implement the EM algorithm, one needs the MMSE estimate of the data sequence for the given estimate of the channel at each step.
Min Shao, Chrysostomos L. Nikias
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MMSE Equalization for Bandwidth-Efficient Multicarrier Systems
2006 IEEE International Symposium on Circuits and Systems, 2006Multicarrier systems, used in many of today's communications standards like 802.11b, are very prominent candidates for future mobile communication systems. Complex modulated transmultiplexer filter banks (Tzannes et al., 1994) providing improved frequency responses in comparison to orthogonal frequency division multiplex (OFDM) are proposed without a ...
Dirk S. Waldhauser, Josef A. Nossek
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MMSE Turbo Equalizer for Channels with Cochannel Interference
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006The MMSE turbo equalizer has excellent performance with moderate complexity. Current realizations of an MMSE turbo equalizer usually assume the equalizer output is Gaussian, which, however, may not be true for channels with co-channel interference (CCI).
Yu Gong +2 more
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Turbo Diversity Based on SC/MMSE Equalization
IEEE Transactions on Vehicular Technology, 2005In this paper, an iterative (turbo) technique, soft-cancellation followed by minimum mean squared error filtering (SC/MMSE), is applied to the diversity combining of broadband single-carrier signals using multiple antennas. The major aim of this approach is to reduce the computational complexity of the original SC/MMSE equalization algorithm.
Mariella Särestöniemi +3 more
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MMSE Equalizer Design Optimization for Wireline SerDes Applications
IEEE Transactions on Circuits and Systems I: Regular PapersAlireza Akbarpour Bazargani +2 more
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Chip-level MMSE equalization at the edge of the cell
2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540), 2002We examine the performance of two linear equalizers for a CDMA downlink over a frequency-selective multipath channel: the traditional RAKE receiver, and a chip-level MMSE (minimum mean square error) equalizer. The mobile-station assumed to be midway between two base-stations.
Thomas P. Krauss, Michael D. Zoltowski
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