In this paper, we propose a variable step-size multi-modulus algorithm with quantized-error method (QE-VSSMMA), which benefits from a nonlinear quantized error method as well as the variable step-size method and thus ...
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ISBN:
(纸本)9780819489326
In this paper, we propose a variable step-size multi-modulus algorithm with quantized-error method (QE-VSSMMA), which benefits from a nonlinear quantized error method as well as the variable step-size method and thus holds reduced computational complexity and improved convergence rate compared to conventional multi-modulus algorithm (MMA). Simulation shows that the new algorithm has the characteristics of faster convergence, lower implementation cost while preserves the robustness property and the phase recovery functionality of MMA. The new algorithm is suitable for resource-limited environment.
The issue of blind multiple-Input and multiple-Output (MIMO) deconvolution of communication system is addressed. Two new iterative Blind Source Separation (BSS) algorithms are presented, based on the minimization of M...
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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 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 issue of blind multiple-Input and multiple-Output (MIMO) deconvolution of communication system is addressed. Two new iterative Blind Source Separation (BSS) algorithms are presented, based on the minimization of M...
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ISBN:
(纸本)9781467369985
The issue of blind multiple-Input and multiple-Output (MIMO) deconvolution of communication system is addressed. Two new iterative Blind Source Separation (BSS) algorithms are presented, based on the minimization of multi-modulus (MM) criterion. A pre-whitening filter is utilized to transform the problem into finding a unitary beamformer matrix. Then, applying iterative Givens and Hyperbolic rotations results in Givens multi-modulus algorithm (G-MMA) and Hyperbolic G-MMA (HG-MMA), respectively. Proposed algorithms are compared with several BSS algorithms in terms of Signal to Interference and Noise Ratio (SINR) and Symbol Error Rate (SER) and it was shown to outperform them.
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.
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.
In view of slow convergence speed, large steady mean square error(MSE), and existing blind phase for the constant modulus blind equalization algorithm(CMA), a multi-modulus blind equalization algorithm based on memeti...
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ISBN:
(纸本)9781510812055
In view of slow convergence speed, large steady mean square error(MSE), and existing blind phase for the constant modulus blind equalization algorithm(CMA), a multi-modulus blind equalization algorithm based on memetic algorithm(MA-MMA) is proposed, which combines the basic idea of intelligent optimization algorithm and introduces the individual own evolution and social behavior among individuals to the blind equalization technology. In this proposed algorithm, the reciprocal of the cost function of multi-modulus blind equalization algorithm(MMA) is defined as the fitness function of the memetic algorithm(MA), the initial optimal weight vector of the MMA is optimized by using the global information sharing mechanism and local depth search ability of the MA. When the initial optimum weight vector of the MMA is obtained, the weight vector of the MMA may be updated. The simulation results with the higher-order APSK multi-modulus signals show that, compared with the CMA, the MMA, and the multi-modulus blind equalization algorithm based on genetic algorithm(GA-MMA), the proposed MA-MMA has the fastest convergence speed, smallest mean square error(MSE), and clearest output constellations.
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...
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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.
40-Gb/s/lambda multi-band carrierless amplitude and phase (CAP) modulation long-reach passive optical networks were demonstrated using 10-G class transceivers only. A major issue of multi-band CAP is that it is vulner...
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40-Gb/s/lambda multi-band carrierless amplitude and phase (CAP) modulation long-reach passive optical networks were demonstrated using 10-G class transceivers only. A major issue of multi-band CAP is that it is vulnerable to timing error, and this work has offered quantitative analysis about it in detail for the first time. A novel simple timing recovery approach, partial differential quadrature amplitude modulation constellation encoding and decoding schemes together with blind multimodulusalgorithm equalization are proposed to address the issue efficiently, enabling zero-overhead signal recovery. Results show that it can offer excellent system tolerance to timing error of at least +/- 0.1 symbol period even for the highest frequency CAP sub-band. The characteristics of the transceiver are measured, and optimization of critical system parameters is performed including the CAP sub-band count, 10-G Mach-Zehnder intensity modulator operation conditions, optical launch power, and wavelength offset asymmetrical optical filtering. For downlink using erbium-doped fiber amplifier preamplifiers, successful 40-Gb/s multi-band CAP signal transmission over an 80-km (90-km) single-mode fiber is achieved with a link power budget of 33 dB (29 dB) considering a forward error correction threshold bit error ratio of 3.8 x 10(-3).
In this paper, we propose a demultiplexing method based on frequency-domain joint decision multimodulusalgorithm (FD-JDMMA) for mode division multiplexing (MDM) system. The performance of FD-JDMMA is compared with f...
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In this paper, we propose a demultiplexing method based on frequency-domain joint decision multimodulusalgorithm (FD-JDMMA) for mode division multiplexing (MDM) system. The performance of FD-JDMMA is compared with frequency-domain multi-modulus algorithm (FD-MMA) and frequency-domain least mean square (FD-LMS) algorithm. The simulation results show that FD-JDMMA outperforms FD-MMA in terms of BER and convergence speed in the cases of mQAM (m=4, 16 and 64) formats. And it is also demonstrated that FD-JDMMA achieves better BER performance and converges faster than FD-LMS in the cases of 16QAM and 64QAM. Furthermore, FD-JDMMA maintains similar computational complexity as the both equalization algorithms. (C) 2016 Elsevier B.V. All rights reserved.
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