The main disadvantage of constant modulus algorithm (CMA) is that the output error can not converge to zero for the transmitted signals with non-constantmodulus. By exploiting the character of the 16-QAM constellatio...
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The main disadvantage of constant modulus algorithm (CMA) is that the output error can not converge to zero for the transmitted signals with non-constantmodulus. By exploiting the character of the 16-QAM constellation, a new cost function is defined which can transform the non-constantmodulus signals to constantmodulus signals. And then the new CMA based on such cost function is proposed. Compared with traditional CMA the proposed algorithm has lower steady state error. The efficiency of the method is proved by computer simulations in underwater acoustic channels.
In order to overcome the slow convergence rate and large residual error of constant modulus algorithm (CMA). a new constant modulus algorithm based on dual-step size is proposed. This algorithm operates with switching...
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In order to overcome the slow convergence rate and large residual error of constant modulus algorithm (CMA). a new constant modulus algorithm based on dual-step size is proposed. This algorithm operates with switching the step size from one to another and the condition of switching is based on the decision of the equalizer's output. Comparing with the CMA. the advantages of the new algorithm are faster convergence rate and lower residual error. The efficiency of the method is proved by computer simulations.
We propose two new algorithms to minimize the constantmodulus (CM) criterion in the context of blind source separation. The first algorithm, referred to as Givens CMA (G-CMA), uses unitary Givens rotations and procee...
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We propose two new algorithms to minimize the constantmodulus (CM) criterion in the context of blind source separation. The first algorithm, referred to as Givens CMA (G-CMA), uses unitary Givens rotations and proceeds in two stages: prewhitening step, which reduces the channel matrix to a unitary one followed by a separation step where the resulting unitary matrix is computed as a product of Givens rotations. However, for small sample sizes, the prewhitening does not make the channel matrix close enough to unitary and hence applying Givens rotations alone does not provide satisfactory performance. To remediate to this problem, we propose to use Hyperbolic rotations in conjunction with Givens rotations. This second algorithm, referred to as Hyperbolic G-CMA (HG-CMA), is shown to outperform the G-CMA as well as the Analytical CMA (ACMA). The last part of this paper is dedicated to an efficient adaptive implementation of the HG-CMA and to performance assessment through numerical experiments. (C) 2014 Elsevier B.V. All rights reserved.
The present paper deals with the formulation of the baud-spaced constantmodulus blind equalization in the presence of Gaussian noise as an unconstrained optimization problem via the use of genetic algorithm and gener...
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The present paper deals with the formulation of the baud-spaced constantmodulus blind equalization in the presence of Gaussian noise as an unconstrained optimization problem via the use of genetic algorithm and generalized pattern search (GPS) algorithm. Simulation results show that the proposed approach is more robust to the adopted initialization strategy and much more likely to outperform the classical constant modulus algorithm in terms of minimum-squared error, intersymbol interference and error vector magnitude quantities. (C) 2007 Elsevier GmbH. All rights reserved.
A constant modulus algorithm is presented for blind equalization of complex-valued communication channels. The proposed algorithm is obtained by solving a novel deterministic optimization criterion which comprises the...
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A constant modulus algorithm is presented for blind equalization of complex-valued communication channels. The proposed algorithm is obtained by solving a novel deterministic optimization criterion which comprises the minimization of a priori as well as a posteriori dispersion error, leading to an update equation having a particular zero-memory continuous Bussgang-type non-linearity. We also derive a stochastic bound for the range of step-sizes for a generic Bussgang-type constant modulus algorithm. The theoretical result is validated through computer simulations.
Quaternion adaptive filters have been applied extensively to model three- and four-dimensional phenomena in signal processing, but most of them require a known reference signal. In this paper, a class of widely linear...
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Quaternion adaptive filters have been applied extensively to model three- and four-dimensional phenomena in signal processing, but most of them require a known reference signal. In this paper, a class of widely linear quaternion-valued Godard (WL-QGodard) algorithms is derived, which include the widely linear quaternionvalued constant modulus algorithm (WL-QCMA) as a special case. The derived filter allows for signal recovery operations in the absence of reference signals to be performed directly in the quaternion domain, eliminating the need for transformation to real-valued vector algebras and preserving the advantages of the quaternion division algebra. Compared to state-of-the-art quaternion blind equalisation algorithms, the proposed algorithm models the signal transmission channel using the widely linear quaternion framework, which has more extensive applicability and can better represent real-world scenarios. Furthermore, aided by GHR calculus, for the first time, we present a performance analysis framework for the QGodard algorithm and WL-QGodard algorithms, which depicts the dynamic and their static convergence behaviours, overcoming the challenges posed by the noncommutative quaternion algebra and non-isomorphism between the quaternion equalisers and real-valued equalisers. Finally, simulation results over physically meaningful wireless communication signals indicate the effectiveness and superiority of the proposed WL-QCMA, and the validity of the theoretical performance analysis.
Multi-user mobile communication systems use adaptive and linearly constrained adaptive filters for blind and non-blind adaptive interference cancelation, multipath reduction, equalization, and adaptive beamforming. A ...
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Multi-user mobile communication systems use adaptive and linearly constrained adaptive filters for blind and non-blind adaptive interference cancelation, multipath reduction, equalization, and adaptive beamforming. A conjugate gradient and a steepest descent method for real-time processing are proposed and applied to blind adaptive array processor. Simulations show that the proposed algorithms have performance comparable to those of algorithms proposed earlier. (C) 2010 Elsevier B.V. All rights reserved.
The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian i.i.d. processes transmitted through unknown linear channels in the presence of unknown additive interfer...
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The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian i.i.d. processes transmitted through unknown linear channels in the presence of unknown additive interference, The existence of multiple CM minima, however, makes it difficult for CM-minimizing schemes to generate estimates of the desired source (as opposed to an interferer) in multiuser environments, In this paper, we present three separate sufficient conditions under which gradient descent (GD) minimization of CIM cost will locally converge to an estimator of the desired source at a particular delay. The sufficient conditions are expressed in terms of statistical properties of the initial estimates, specifically, CM cost, kurtosis, and signal-to-interference-plus-noise ratio (SINR). Implications on CM-GD initialization methods are also discussed.
constant modulus algorithm (CMA) in dual-polarization optical coherent transmission is revisited for optical access. We introduce a refined CMA, exhibit singularity-free operation up to 5 ps/km0.5 polarization mode di...
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In this paper a robust version of conventional constant modulus algorithm is presented. This robust algorithm is used for multipath channel equalization in the presence of impulsive heavy-tailed noise described by alp...
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ISBN:
(纸本)9781628413694
In this paper a robust version of conventional constant modulus algorithm is presented. This robust algorithm is used for multipath channel equalization in the presence of impulsive heavy-tailed noise described by alpha-stable distribution. The advantage of presented robust algorithm over conventional algorithm dedicated to Gaussian noise is confirmed experimentally.
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