The constant modulus algorithm(CMA) is recognized as the most widely used algorithm in blind channel equalization practice. However, the CMA cost function exhibits local minima, which often leads to ill-convergence. T...
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The constant modulus algorithm(CMA) is recognized as the most widely used algorithm in blind channel equalization practice. However, the CMA cost function exhibits local minima, which often leads to ill-convergence. This paper proposes a concurrent equalizer, in which a Soft Decision Directed(SDD) equalizer operates cooperatively with a CMA equalizer, controlled through a non-linear link that depends on the system a priory state. The simulation results show that the proposed equalizer has faster convergence rate and lower steady-state mean square error than the CMA equalizer.
In the digital transmission system, constant modulus algorithm(CMA) is a famous blind equalization to overcome the inter-symbol interference without the aid of training sequences. But for the non-constantmodulus sign...
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In the digital transmission system, constant modulus algorithm(CMA) is a famous blind equalization to overcome the inter-symbol interference without the aid of training sequences. But for the non-constantmodulus signals such as higher-order PAM signals, the CMA just achieve moderate steady-state mean square error(MSE) which may not be sufficient for the system to obtain adequate performance. By studying the amplitude relationship between different constellations of PAM signals, a new amplitude transformation method is proposed. According to such method the non-constantmodulus signals can be changed to be constantmodulus, and then using it to the CMA the zero steadystate MSE can be obtained. The efficiency of the proposed method is proved by computer simulations.
In the digital transmission system, constant modulus algorithm(CMA) is a famous blind equalization to overcome the inter-symbol interference without the aid of training sequences. But for the non-constantmodulus sign...
详细信息
In the digital transmission system, constant modulus algorithm(CMA) is a famous blind equalization to overcome the inter-symbol interference without the aid of training sequences. But for the non-constantmodulus signals such as higher-order QAM signals, the CMA just achieve moderate steady-state mean square error(MSE) which may not be sufficient for the system to obtain adequate performance. By studying the amplitude relationship between different constellations of QAM signals, a new amplitude transformation method is proposed. According to such method the non-constantmodulus signals can be changed to be constantmodulus, and then using it to the CMA the zero steadystate MSE can be obtained. The efficiency of the proposed method is proved by computer simulations.
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.
＜正＞Inter-Symbol Interference（ISI）,caused by the multi-path and fading channels at the receiver,affects communication quality *** order to improve the communication system performance and to decrease Bit Error Rat...
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＜正＞Inter-Symbol Interference（ISI）,caused by the multi-path and fading channels at the receiver,affects communication quality *** order to improve the communication system performance and to decrease Bit Error Rate（BER）,modified constant modulus algorithm and Decision Feedback blind Equalization based on Equal Gain Combining time diversity is proposed in order to analyse the performances of time diversity and decision feedback *** proposed algorithm employs the time diversity for reducing the effect of fading channel on communication quality and utilizes decision feedback equalizer to eliminate ISI,uses Modified constant modulus algorithm（MCMA）to overcome phase rotations. Accordingly,the proposed algorithm has faster convergence speed and smaller mean square error,and its validity is verified by computer simulation with multi-path underwater acoustic channel.
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-modulusalgorithm (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.
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 Pre-processing Decision-FeedBack Least Squares constantmodulus blind multiuser detection algorithm (P-DFB-LSCMA) using antenna arrays is proposed in this paper. It pre-processes the received signals from the antenn...
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A Pre-processing Decision-FeedBack Least Squares constantmodulus blind multiuser detection algorithm (P-DFB-LSCMA) using antenna arrays is proposed in this paper. It pre-processes the received signals from the antenna arrays and utilizes the least squares constant modulus algorithm based on decision feedback to detection the DS-CDMA signals. Simulation results show that the proposed P-DFB-LSCMA algorithm is superior to DFB-LSCMA and LSCMA, especially with low SNR.
Massive MIMO transmission has been attracted much attention as one of key technologies in next-generation mobile communication system, because it enables improvement in service area and interference mitigation by simp...
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ISBN:
(纸本)9781467379601
Massive MIMO transmission has been attracted much attention as one of key technologies in next-generation mobile communication system, because it enables improvement in service area and interference mitigation by simple signal processing. Multi-beam massive MIMO configuration has proposed that utilizes the beam selection with high power in analog part and blind algorithm such as constant modulus algorithm (CMA) which does not need channel sate information (CSI) is applied in digital part. In this paper, in order to achieve the further higher transmission rate, the amplitude and phase compensation scheme is proposed when using the CMA with amplitude and phase modulation scheme.
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