In this paper, we investigate the impetus for a Rake receiver together with an equalizer for UWB communication systems and then develop a novel Rake combining equalizer which employs a blind adaptive algorithm to impr...
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ISBN:
(纸本)9781424401017
In this paper, we investigate the impetus for a Rake receiver together with an equalizer for UWB communication systems and then develop a novel Rake combining equalizer which employs a blind adaptive algorithm to improve the system performance by mitigating multi-path distortion and suppressing inter-symbol interference (ISI). Simulations have verified the usefulness of this structure in UWB communication systems.
Polarization-division multiplexing (PDM) has emerged as a promising technique for increasing data rates without increasing symbol rates. However, the distortion effects of the fiber transmission medium poses severe ba...
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ISBN:
(纸本)9781479975051
Polarization-division multiplexing (PDM) has emerged as a promising technique for increasing data rates without increasing symbol rates. However, the distortion effects of the fiber transmission medium poses severe barriers for the implementation of this technological alternative. Especially, due to the fiber-induced polarization fluctuation orthogonally transmitted PDM signals are mixed at the receiver input. Therefore, a receiver compensation structure needs to be implemented to recover the original orthogonal transmitted components from their mixtures at the end of the fiber channel. This is in fact the focus of this article where a receiver algorithm is based on a recently proposed minimum entropy equalization scheme exploiting the maximization of (an enhanced) energy cost function subject to the magnitude boundedness of (incoming) digital communication signals. Through the use of this scheme, new receiver algorithms for recovering the original polarization signals in an adaptive manner are proposed. The key feature of these algorithms is that they can achieve high equalization performance while maintaining the algorithmic complexity in a fairly low level that is suitable for implementation in optical fiber communication receivers. The performance of these algorithms for a square-QAM based coherent polarization division multiplexed system are illustrated through some simulation examples.
In this paper, we analyze the applicability of constant modulus algorithm (CMA), one of the most widely used and tested blind equalization technique to blind image deconvolution. With a detailed mathematical analysis,...
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ISBN:
(纸本)9781424479078
In this paper, we analyze the applicability of constant modulus algorithm (CMA), one of the most widely used and tested blind equalization technique to blind image deconvolution. With a detailed mathematical analysis, we show that the strong correlation between the neighboring spatial locations found in natural images becomes a major constraint on the convergence of CMA. In order to overcome this constraint, we introduce a novel image pixel correlation model in relation with natural image statistics. Based on this model, a segmented blind image deconvolution through CMA is proposed. The robustness of the proposed algorithm with natural images is discussed in terms of efficiency and effectiveness.
Computational complexity is the most significant defect of coherent optical communication, which consumes a large area and leads to high power consumption, especially for the adaptive filter used for polarization mode...
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ISBN:
(纸本)9781665450737
Computational complexity is the most significant defect of coherent optical communication, which consumes a large area and leads to high power consumption, especially for the adaptive filter used for polarization mode dispersion (PMD). In this paper, we implement a 9-tap intro-polarization and 1-tap inter-polarization equalizer, which reduces 34.4% multiplication of the conventional structure. Besides, we proposed an approximate multiplier to save 44.6% full adder. Under the QPSK modulation, the proposed equalizer has a throughput of 114Gb/s and a power of 463mW at 1.786GHz. Synthesis shows that the area of the proposed 16-way parallel adaptive equalizer is 0.365mm(2) with a 28 nm process, which has an improvement of 27.86% in area, and 37.88% in energy efficiency to the fix-point structure.
In this contribution, we address the comparison of Subspace (SS), Linear Prediction (LP) and constantmodulus (CM) identificaton/equalization algorithms in terms of robustness to loss of Fractionally-Spaced channel di...
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ISBN:
(纸本)0818679204
In this contribution, we address the comparison of Subspace (SS), Linear Prediction (LP) and constantmodulus (CM) identificaton/equalization algorithms in terms of robustness to loss of Fractionally-Spaced channel disparity. We show that SS procedure leads to an inconsistent channel estimation. Investigating a left-inverse channel estimation, we show that LP results in the estimation of the so-called minimum-phase multivariate channel factorization. We show that CM criterion still perform reasonable channel estimation, even if proper algorithm initialization is still a critical subject.
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.
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.
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.
This paper is concerned with the array shape self-calibration problem when the array gain pattern of each sensor is spatially dependent and unknown. We adapt a constantmodulus Approach (CMA) to improve the precision ...
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ISBN:
(纸本)9781424405244
This paper is concerned with the array shape self-calibration problem when the array gain pattern of each sensor is spatially dependent and unknown. We adapt a constantmodulus Approach (CMA) to improve the precision in the sensor localization. We will see how this original method conducts to build particular antenna configurations appropriate for self-calibration. The performance improvement lies in a strong bias reduction.
To overcome the shortcomings that slow convergence rate and big steady-state error of the constant modulus algorithm, a variable step-size dual mode blind equalization based on Cadzow theorem is brought forward. Utili...
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ISBN:
(纸本)9781424421077
To overcome the shortcomings that slow convergence rate and big steady-state error of the constant modulus algorithm, a variable step-size dual mode blind equalization based on Cadzow theorem is brought forward. Utilizing the normalized cumulant of order (4,2) and under the direction of Cadzow theorem, the new algorithm will speed up the convergence rate and decrease the steady-state error under the help of step-size. It will turn to the DD algorithm to get better effect of convergence. The algorithm's better equalization property is proved by the computer simulation results.
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