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.
In polarization multiplexing based coherent optical transmission, two main kinds of impairements have to be counter-acted: 1) the inter-symbol interference generated by the chromatic dispersion and the polarization mo...
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In polarization multiplexing based coherent optical transmission, two main kinds of impairements have to be counter-acted: 1) the inter-symbol interference generated by the chromatic dispersion and the polarization mode dispersion and 2) the frequency offset. Usually adaptive approaches are carried out to mitigate them. Since the channel is very slowly time-varying, we propose to combat these impairements by using block-wise methods. Therefore, we introduce two new algorithms: the first one is a block-wise version of blind time equalizer (such as CMA), and the second one estimates the frequency offset in block-wise way. These algorithms are suitable for PSK and QAM constellations. By simulation investigations, we show that they outperform the standard approach in terms of convergence speed only at a moderate expense of computational load. We also experimentally evaluate their performance using 8-PSK real data traces and off-line processing which takes into account other physical impairments such as phase noise and non-linear effects.
In this paper, we propose a variable step-size multi-modulusalgorithm 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-modulusalgorithm 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-modulusalgorithm (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.
We propose blind equalization algorithms that perform similarly to supervised ones, independently of the QAM order. They converge approximately to the Wiener solution, which generally provides a relatively low misadju...
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ISBN:
(纸本)9781457705397
We propose blind equalization algorithms that perform similarly to supervised ones, independently of the QAM order. They converge approximately to the Wiener solution, which generally provides a relatively low misadjustment. Besides presenting strategies to speed up their convergences, we provide sufficient conditions for the stability of the symbol-based decision algorithm, which is an extension of the decision-directed algorithm. Their behaviors are illustrated through simulation results.
In this paper we show that the widely used blind adaptive minimum output energy algorithm fails to converge to the desired solutions when complex valued IIR equalization structure is used for digital VSB signals. We p...
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ISBN:
(纸本)9781612848570
In this paper we show that the widely used blind adaptive minimum output energy algorithm fails to converge to the desired solutions when complex valued IIR equalization structure is used for digital VSB signals. We present analytic counter example for a simplified two tap channel case showing ill convergence of MOE algorithm.
In digital communication system, De Castro et al. proposed a combination blind equalization based on a constant modulus algorithm (CMA) and a decision directed (DD) operating concurrently (CMA+DD) which is known to ou...
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In digital communication system, De Castro et al. proposed a combination blind equalization based on a constant modulus algorithm (CMA) and a decision directed (DD) operating concurrently (CMA+DD) which is known to outperform the CMA considerably, however it still only achieves moderate steady-state mean square error (MSE). Then a new CMA based on modified function is discussed in such combination blind equalization scheme. For the 4-PAM and 16-QAM signals, by adjusting the coordinates of received signals the cost function will become exactly zero when the channel is perfectly equalized. So the proposed algorithm can obtain lower steady-state MSE than CMA+DD. Simulation results show that the proposed method achieves satisfactory performance. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
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. ...
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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. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
According to disadvantages of low convergence rate, big steady-state and poor ability to track time-varying channel of traditional constantmodulus blind equalization algorithm(CMA), the variable momentum factor decis...
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ISBN:
(纸本)9783642198526
According to disadvantages of low convergence rate, big steady-state and poor ability to track time-varying channel of traditional constantmodulus blind equalization algorithm(CMA), the variable momentum factor decision feedback blind equalization algorithm based on the constant parameter error function(VMCDFECMA) is proposed by introducing the variable momentum factor into the momentum decision feedback blind equalization algorithm based on the constant parameter error function(MDFECMA). The proposed VMCDFECMA can improve convergence rate and tracking per-formance, and reduce steady-state error via making full use of the features of the decision feedback equalizer, the momentum term,and the error functions. The performance of the proposed VMCDFECMA algorithm is simulated with underwater acoustic channels.
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 sig...
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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 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 steady-state MSE can be obtained. The efficiency of the proposed method is proved by computer simulations. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
A high speed structure for blind equalization of 8PSK signals is presented based on FPGA. The filter section is designed with a parallel structure based on time-domain convolution. In the case of short delay spread, t...
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ISBN:
(纸本)9781849195072
A high speed structure for blind equalization of 8PSK signals is presented based on FPGA. The filter section is designed with a parallel structure based on time-domain convolution. In the case of short delay spread, this structure is superior to the parallel structure based on sub-convolution filter bank in literature on computational complexity. Applying this structure to the blind equalization of 800Mbps 8PSK signals, test results show that the speed requirement is met, the hardware resources are furthest saved, and the blind equalizer converges fast.
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