Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution(MED) principle ...
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ISBN:
(纸本)9783642289613
Blind beamforming has been studied extensively in recent times. Array signal processing is an effective technique for signal extraction in communication systems. We employ minimum entropy deconvolution(MED) principle for source extraction. Results are shown which indicate good performance in comparison with conventional adaptive algorithms like the constant modulus algorithm and the multi-modulusalgorithm.
In this paper a performance analysis of modified M-ary phase-shift-keying (MPSK) signal diversity receiver with predetection equal gain combiner (EGC) will be presented. The modification is in introducing a structure ...
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ISBN:
(纸本)9781467329842;9781467329835
In this paper a performance analysis of modified M-ary phase-shift-keying (MPSK) signal diversity receiver with predetection equal gain combiner (EGC) will be presented. The modification is in introducing a structure that performs the estimation with remodulation (ER). The EGC combining is realized by using the constant modulus algorithm (CMA). The influence of carrier frequency offset, length of ER structure and other parameters of the receiver will be examined.
This paper proposes a modification of quadrature phase-shift-keying (QPSK) signal diversity reception with predetection equal gain combiner (EGC). The EGC combining is realized by using the constant modulus algorithm ...
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This paper proposes a modification of quadrature phase-shift-keying (QPSK) signal diversity reception with predetection equal gain combiner (EGC). The EGC combining is realized by using the constant modulus algorithm (CMA). Carrier synchronization is performed by the phase locked loop (PLL). Comparative analysis of the modified and ordinary diversity receiver in the presence of carrier frequency offset in the additive white Gaussian noise (AWGN) channel, as well as in Rician fading channel is shown. The proposed diversity receiver allows significant frequency offset compared to the diversity receiver that uses only PLL, and the error probability of the proposed receiver is very close to the error probability of the receiver with only PLL and zero frequency offset. The functionality of the proposed diversity receiver, as well as its properties is experimentally verified on a system based on universal software radio peripheral (USRP) hardware. The performed comparison confirms the expected behavior of the system.
The main disadvantage of constant modulus algorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constantmodulus. So a new dual-mode CMA equalizer is proposed. This equa...
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The main disadvantage of constant modulus algorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constantmodulus. 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.
A novel blind equalizer suitable for high-order QAM signals is proposed,which combines Signed-Error constant modulus algorithm(SE-CMA) and Decision Directed(DD) *** proposed algorithm makes full use of the advantages ...
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A novel blind equalizer suitable for high-order QAM signals is proposed,which combines Signed-Error constant modulus algorithm(SE-CMA) and Decision Directed(DD) *** proposed algorithm makes full use of the advantages of SE-CMA and DD algorithm and these two algorithms operate *** with underwater acoustic channels are used to compare the proposed algorithm with the famous constant modulus algorithm(CMA).The simulation results show that the proposed algorithm has faster convergence rate and lower steadystate mean square error.
The constant modulus algorithm(CMA) equalizer is perhaps the best known and the most popular scheme for blind adaptive channel equalization. In this paper, a modified constant modulus algorithm(modified CMA or MCMA) i...
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The constant modulus algorithm(CMA) equalizer is perhaps the best known and the most popular scheme for blind adaptive channel equalization. In this paper, a modified constant modulus algorithm(modified CMA or MCMA) is proposed by modifying its error function. We have discussed the MCMA to blind channel equalization for baud-rat sampling in single-user case. Computer simulations are provided for 8PSK signals in noise environments under frequency selective channels. Results demonstrate that the MCMA displays much superior performance to the CMA for both convergence-time and intersymbol interference(ISI) or mean square error(MSE).
The main disadvantage of constant modulus algorithm(CMA) equalizer is that the output error is very large for the transmitted signals with non-constantmodulus. So a new dual-mode CMA equalizer is proposed. This equal...
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The main disadvantage of constant modulus algorithm(CMA) equalizer is that the output error is very large for the transmitted signals with non-constantmodulus. 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.
The blind beamforming method for constantmodulus (CM) signals based on relevance vector machine (RVM) is proposed. The proposed beamforming method is obtained by incorporating the constant modulus algorithm (CMA)-lik...
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ISBN:
(纸本)9781457705397
The blind beamforming method for constantmodulus (CM) signals based on relevance vector machine (RVM) is proposed. The proposed beamforming method is obtained by incorporating the constant modulus algorithm (CMA)-like error function into the conventional RVM framework. The RVM framework formulates the parameters of beamfomer by exploiting a probabilistic Bayesian learning procedure with assumption of Gaussian prior for parameters. The simulation results show that the proposed blind beamforming method can restore the desired signals with crowded interference signals.
The Multi-Target constant modulus algorithm (MT-CMA) can blindly separate multiple co-channel signals captured by an antenna array. It sequentially calculates the unknown weight vectors by executing CMA on a subspace ...
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ISBN:
(纸本)9781424406586
The Multi-Target constant modulus algorithm (MT-CMA) can blindly separate multiple co-channel signals captured by an antenna array. It sequentially calculates the unknown weight vectors by executing CMA on a subspace spanned by these vectors, and estimates the weight vectors of all users. Thus, it needs to precisely estimate the subspace by using the calculated weight vectors. The conventional estimation method is to estimate the subspace assuming that the array output signals are orthogonal. However, when the Signal-to-Noise Ratio (SNR) is low, the subspace estimation accuracy is degraded due to the failure of orthogonality. To overcome this problem, we propose a new subspace estimation method for MT-CMA. It estimates the subspace by using eigen-value decomposition of the received signals' covariance matrix, which is independent of signal orthogonality. Computer simulation results show that the proposed algorithm achieves a 10% improvement of user capacity or 5.0dB improvement in required CNR. Moreover, the BER performance of the proposed algorithm is close to that of MMSE.
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.
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