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Blind Equalization Via Polynomial Optimization
2020 28th European Signal Processing Conference (EUSIPCO), 2021A polynomial optimization based blind equalizer (POBE) is proposed. Different from the popular constant modulus algorithm and its variants, the POBE adopts an eighth-order multivariate polynomial as the loss function. Since the loss function is sensitive to phase rotation, the POBE can achieve automatic carrier phase recovery. A gradient descent method
Xue Jiang 0001 +4 more
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Prefiltering for blind equalization
Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 1995AbstractA major problem with blind equalization algorithms based on the distribution matching principle is that they need a long time to accomplish their convergence. What affects convergence has not been discovered to date. the similarity between the least mean‐square (LMS) algorithm (widely used for adaptive equalization) and the blind algorithms is ...
Katsuko Itoh +2 more
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Identifiability in Blind Equalization
IFAC Proceedings Volumes, 1993Abstract This paper is concerned with estimation of the input sequence of an unknown linearsystem given noisy measurements of the output signal. It is assumed that the system can be described by a finite impulse response model and that the input signal belongs to a finite alphabet.
F. Gustafsson, B. Wahlberg
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Blind equalization based on blind separation with Toeplitz constraint
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014Blind equalization (BE) has been modeled as a blind source separation (BSS) problem and achieved using BSS algorithms. One drawback of on-line algorithms considered in previous work for blind equalization is their slow convergence. We show that the Toeplitz structure of the mixing matrix and the separating matrix in the BSS model for BE can be ...
Zhengwei Wu +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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On split FIR filtering in blind equalization
2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), 2003This paper presents the implementation of blind equalizers with a new filtering structure, the split transversal filter. The aim is to improve the robustness of known blind algorithms. Comparisons between the new scheme and the traditional structure for three of the Bussgang techniques are presented.
Richard Demo Souza +3 more
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A blind equalization with the variable decision region
Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97, 2002A blind equalization algorithm may be switched to a decision-directed (DD) scheme in order to speed up the convergence rate. In this paper, we propose a new blind equalization scheme that automatically switches to the DD mode. The proposed scheme operates in two modes: a blind equalization mode and a DD mode.
Sung Lark Kwon +3 more
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On the use of kernel structure for blind equalization
IEEE Transactions on Signal Processing, 2000The mathematical theory of kernel (null space) structure of Hankel and Hankel-like matrices is applied to the problem of blind equalization of co-channel signals. This work builds on recently introduced ideas in blind equalization where the symbols are treated as deterministic parameters and estimated directly without estimating the channel first.
Jacob H. Gunther, A. Lee Swindlehurst
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New Bussgang methods for blind equalization
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002This paper analyses Bussgang blind algorithms in terms of the minimization of an associated nonlinear cost function. Then, two new blind algorithms (modified decision directed and modified Bellini's (1986)) are proposed and evaluated by computer simulation.
João Batista Destro Filho +2 more
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Convergence analysis of an algorithm for blind equalization
IEEE Transactions on Communications, 1991The authors consider a key algorithm for blind equalization and derive expressions for the evolution of the equalizer output error trajectory. The authors develop a model to examine the convergence behavior of this algorithm. Suitable approximations are incorporated into the model to facilitate analysis.
Vijitha Weerackody +2 more
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