For blind equalization of high-order quadrature amplitude modulation (QAM) signals, A dual-mode multi-modulus algorithm (DM-MMA) and a stop-and-go dual-mode multi-modulus algorithm (SAG-DMMMA) are proposed. Through Si...
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For blind equalization of high-order quadrature amplitude modulation (QAM) signals, A dual-mode multi-modulus algorithm (DM-MMA) and a stop-and-go dual-mode multi-modulus algorithm (SAG-DMMMA) are proposed. Through Simulation, compared with the recently introduced multi-modulus algorithm, verified the proposed blind equalization algorithms have faster convergence speed and smaller steady-state mean square error. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
The main disadvantage of constant modulusalgorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equa...
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The main disadvantage of constant modulusalgorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equalizer operates with switching the algorithm from traditional CMA to multi-modulus CMA and the condition of switching is based on the decision of the equalizer's output. Comparing with the CMA, the proposed method has the lower residual mean square error (MSE). The efficiency of the method is proved by computer simulations.
For blind equalization of high-order quadrature amplitude modulation (QAM) signals, A dual-mode multi-modulus algorithm (DM- MMA) and a stop-and-go dual-mode multi-modulus algorithm (SAG-DMMMA) are proposed. Through S...
详细信息
For blind equalization of high-order quadrature amplitude modulation (QAM) signals, A dual-mode multi-modulus algorithm (DM- MMA) and a stop-and-go dual-mode multi-modulus algorithm (SAG-DMMMA) are proposed. Through Simulation, compared with the recently introduced multi-modulus algorithm, verified the proposed blind equalization algorithms have faster convergence speed and smaller steady-state mean square error.
Aiming at the shortcomings of computational complexity, slow convergence rate, and poor stability of the multi-modulus blind equalization algorithm(MMA), a Variable Step-size Fractionally spaced Wavelet multi-modulus ...
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Aiming at the shortcomings of computational complexity, slow convergence rate, and poor stability of the multi-modulus blind equalization algorithm(MMA), a Variable Step-size Fractionally spaced Wavelet multi-modulus blind equalization algorithm(VSFWTMMA) was proposed. In the proposed algorithm, the hyperbolic tangent function, which has three parameters and whose independent variable is an error function, is used as variable step-size. The convergence rate of the proposed VSFWTMMA can be improved by regulating its three parameters of variable step-size. The simulation results indicate that the convergence rate of the proposed VSFWTMMA is faster than FWTMMA(fractionally spaced wavelet transform multi-modulus blind equalization algorithm) and FWTCMA(fractionally spaced wavelet transform constant modulus blind equalization algorithm) on the condition of the same ISI. Accordingly, the VSFWTMMA has practical value.
The main disadvantage of constant modulusalgorithm(CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equal...
详细信息
The main disadvantage of constant modulusalgorithm(CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equalizer operates with switching the algorithm from traditional CMA to multi-modulus CMA and the condition of switching is based on the decision of the equalizer's output. Comparing with the CMA, the proposed method has the lower residual mean square error(MSE). The efficiency of the method is proved by computer simulations.
Adaptive blind equalization has gained widespread use in communication systems that operate without training signals. The multimodulus blind equalization algorithm can overcome the phase offset error without the need ...
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Adaptive blind equalization has gained widespread use in communication systems that operate without training signals. The multimodulus blind equalization algorithm can overcome the phase offset error without the need of any rotator at the end of the equalizer stage while the wellknown constant modulusalgorithm cannot. The desire for further reduction in computational complexity has motivated improvement multimodulusalgorithm (MMA).This paper presents a modification of MMA based on signederror that results in a more computationally efficient algorithm—signederror multimodulusalgorithm (SEMMA). The performance of the SEMMA is evaluated via simulations and has proved improvements both in convergence speed and in computational complexity as compared to the MMA.
The main disadvantage of constant modulusalgorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equa...
详细信息
The main disadvantage of constant modulusalgorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. So a new dual-mode CMA equalizer is proposed. This equalizer operates with switching the algorithm from traditional CMA to multi-modulus CMA and the condition of switching is based on the decision of the equalizer's output. Comparing with the CMA, the proposed method has the lower residual mean square error (MSE). The efficiency of the method is proved by computer simulations.
In this letter, a new multimodulusalgorithm for blind equalization of complex communication channels is derived by solving a constrained optimization problem with relaxation. The intersymbol interference (ISI) optimi...
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In this letter, a new multimodulusalgorithm for blind equalization of complex communication channels is derived by solving a constrained optimization problem with relaxation. The intersymbol interference (ISI) optimization and phase-recovery capabilities of the proposed algorithm are analyzed. It is shown from computer simulations that superior performance for the derived algorithm over Lin's algorithm is obtained.
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