检索结果-内蒙古大学图书馆

IEEE International Conference on Systems, Man and Cybernetics

作者： Hung, Ho-Lung Chao, Chien-Chi Cheng, Chia-Hsin Huang, Yung-Fa Department of Electrical Engineering Chien-Kuo Technology University Changhua County Taiwan Department of Electrical Engineering National Formosa University Yunlin County Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Township Taichung County Taiwan

ISBN: (纸本)9781424465880

The paper presents a novel constrained constant modulus (CMA) approach for the blind suppression of multiuser interference in multi-carrier code division multiple access (MC-CDMA) systems. In this paper, we put forward a novel receiver, which combines CMA blind adaptive multiuser detection with Invasive weed optimization (IWO) for MC-CDMA interference suppression over multipath fading channel. To work around potentially computational intractability, the proposed scheme exploits heuristics in consideration of both global and local exploration the step size of the CMA. The computer simulation results show that compared with the various CMA developed previously, the proposed IWO method obtains the most desirable bit error rate performance with low computational complexity.

关键词： Invasive weed optimization constant modulus algorithm Blind Multiuser Detection Multi-carrier Code Division Multiple Access component formatting

来源：评论

学校读者我要写书评

暂无评论

New Concurrent Fractionally-Spaced Blind Equalization

New Concurrent Fractionally-Spaced Blind Equalization

引用

International Conference on Advanced Measurement and Test (AMT 2010)

作者： Rao, Wei Guo, Ye-cai Chen, Min Tan, Wen-qun Liu, Jian-bing Xia, Fei Fan, Li Xu, Hui-jun Nanchang Inst Technol Nanchang Peoples R China Nanjing Univ Informat Sci & Technol Nanjing Jiangsu Peoples R China Chinaunicom Jiangxi Branch Nanchang Jiangxi Peoples R China

ISBN: (纸本)9780878492695

The paper proposes a concurrent constant modulus algorithm (CMA) and decision-directed (DD) scheme for fractionally-spaced blind equalization. The proposed algorithm makes full use of the advantages of CMA and DD algorithm. A novel rule to control the adjustment of DD's tap weights vector is proposed which avoids the hard switch between CMA and DD in practice. Simulations with underwater acoustic channels are used to compare the proposed algorithm with the famous CMA. And the simulation results show that the proposed algorithm has faster convergence rate and lower steady state mean square error.

关键词： Concurrent deconvolution fractionally-spaced equalization constant modulus algorithm decision-directed algorithm underwater acoustic communication

来源：评论

学校读者我要写书评

暂无评论

Comparison of Nonlinear CMA-Criterion-based Blind Equalizers

Comparison of Nonlinear CMA-Criterion-based Blind Equalizers

引用

6th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM)

作者： Wang, Donglin Wang, Dongming Univ Calgary Dept Elect & Comp Engn Calgary AB T2N 1N4 Canada Yellow River Conserv Tech Inst Dept Informat Technol Engn kaifeng 475003 Henan Prov Peoples R China

ISBN: (纸本)9781424437092

With a single-layer architecture and a linear transfer function (LTF), CMA cannot perform very well for the nonconvex and nonlinear cost function due to the convex decision region. Both nonlinear transfer function (NTF) and multilayer architecture (MLA) can generate a nonconvex decision region and thus improve the equalization performance. The objective of this paper is to investigate that it is NTF or MLA that does play an essential role in the performance improvement. To catch this goal, in this paper, three CMA-criterion-based methods including NTF-based CMA (NCMA), LTF-based multilayer CMA (MCMA) and NTF-based multilayer CMA (NMCMA) are proposed. Simulation of proposed algorithms on 16-QAM symbols indicates that the NTF is the prerequisite condition for the performance improvement, based on which MLA can futher enhance the equalization performance.

关键词： 16-QAM symbols blind equalisers constant modulus algorithm multilayer CMA multilayer architecture nonconvex cost function nonlinear CMA-criterion-based blind equalizers nonlinear cost function nonlinear transfer function quadrature amplitude modulation transfer functions

来源：评论

学校读者我要写书评

暂无评论

A New constant modulus algorithm Based on Dual-step Size

A New Constant Modulus Algorithm Based on Dual-step Size

引用

第一届国际测量仪器与测试自动化学术会议

作者： Rao Wei Guo Yecai (Department of Electrical Engineering, Anhui University of Science and Technology, Huainan 232001 China)

In order to overcome the slow convergence rate and large residual error of constant modulus algorithm (CMA). a new constant modulus algorithm based on dual-step size is proposed. This algorithm operates with switching the step size from one to another and the condition of switching is based on the decision of the equalizer's output. Comparing with the CMA. the advantages of the new algorithm are faster convergence rate and lower residual error. The efficiency of the method is proved by computer simulations.

关键词： constant modulus algorithm dual-step size blind equalization.

来源：评论

学校读者我要写书评

暂无评论

Fractionally Spaced Combining with Spatial Diversity Blind Equalization algorithm Based on Orthogonal Wavelet Transformation

Fractionally Spaced Combining with Spatial Diversity Blind E...

引用

2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010)

作者： Guo Yecai Ding xue-jie Fan Kang College of Electronic & Information Engineering Nanjing University of Information Science and Technology Nanjing 210044 Jiansu,China

According to the disadvantages of large mean square error(MSE)and slow convergence rate of constant modulus algorithm (CMA),a fractionally spaced combining with spatial diversity blind equalization algorithm based on wavelet transformation (WT-FS-SDE-CMA) was *** this proposed algorithm,spatial diversity technique was applied to blind equalizer to reduce effect of multi-path fading channel on input signals,fractionally spaced equalizer (FSE) was employed for avoiding the spectrum aliasing caused by the under-sampling and decreasing the MSE of equalizer,and orthogonal wavelet transform was introduced into fractionally spaced equalizer (FSE) to decrease the autocorrelation of the input *** proposed algorithm has smaller mean square error and faster convergence rate comparison with the spatial diversity equalizer based on CMA (SDE-CMA) and fractionally spaced spatial diversity equalizer based on CMA(FS-SDE-CMA).The performance of the proposed algorithm is best proved by the computer simulation in underwater acoustic channels.

关键词： constant modulus algorithm Blind Equalization fractionally spaced spatial diversity orthogonal wavelet transformation

来源：评论

学校读者我要写书评

暂无评论

New Dual-mode CMA Equalizer

New Dual-mode CMA Equalizer

引用

2010 2nd International Conference on Intellectual Technology in Industrial Practice (ITIP2010)

作者： Huijuan Gao, Wei Rao, Anping He, Yuanfen Tu, Zhibiao Li Nanchang Institute of Technology Nanchang, China

The main disadvantage of constant modulus algorithm (CMA) equalizer is that the output error is very large for the transmitted signals with non-constant modulus. 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.

关键词： constant modulus algorithm multi-modulus algorithm blind equalization

来源：评论

学校读者我要写书评

暂无评论

Baud-spaced constant modulus blind equalization via hybrid genetic algorithm and generalized pattern search optimization

引用

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2008年第2期62卷 122-131页

作者： Zaouche, A. Dayoub, I. Rouvaen, J. M. Univ Valenciennes Opto Acousto Elect Dept IEMN UMR CNRS 8520 F-59313 Le Mont Houy 9 France

The present paper deals with the formulation of the baud-spaced constant modulus blind equalization in the presence of Gaussian noise as an unconstrained optimization problem via the use of genetic algorithm and generalized pattern search (GPS) algorithm. Simulation results show that the proposed approach is more robust to the adopted initialization strategy and much more likely to outperform the classical constant modulus algorithm in terms of minimum-squared error, intersymbol interference and error vector magnitude quantities. (C) 2007 Elsevier GmbH. All rights reserved.

关键词： blind channel equalization pattern search genetic algorithms constant modulus algorithm

来源：评论

学校读者我要写书评

暂无评论

Capture Properties of the Generalized CMA in Alpha-Stable Noise Environment

引用

WIRELESS PERSONAL COMMUNICATIONS 2009年第1期49卷 107-122页

作者： Tang, Hong Qiu, Tianshuang Li, Ting Dalian Univ Technol Sch Elect & Informat Engn Dalian 116024 Peoples R China Dalian Natl Univ Coll Electromech & Informat Engn Dalian 116600 Peoples R China

constant modulus algorithm (CMA) is an adaptive technique for correcting multipath and interference-induced degradations in constant envelope waveforms. The algorithm exploits the fact that both multipath and additive interference can disrupt the constant envelope of the received signal. By detecting the received envelope variations, the adaptive algorithm has the ability to reset the coefficients vector so as to remove the variations, and in the process, reject the various interference components from the desired signal. If both the interferer and the signal of interest have constant envelope and are spectrally non-overlapped, it is possible to find two different solutions for the coefficient vector, in which one suppresses the interferer and the other "captures" the interferer. The problem of how "capture" can occur and how it may be prevented in Gaussian noise environment has been perfectly developed in the previous work (Treichler, Larimore, IEEE Trans Acoust Speech Signal Process, 33:946-958, 1985). However, recent investigation on the physical channels in wireless communication shows that there is aggregate noise component exhibiting high amplitudes for small duration time interval. This paper proposes a GCMA (Generalized CMA) which generalizes the CMA by introducing the alpha-stable distribution as the noise model. Here the original CMA is only a special case of the GCMA. In order to describe the average behavior of the GCMA, a simple model consisting of only two sinusoids is presented. As assuming slow adaptation, the adaptive weight recursion is shown to compress into a two-by-two recursion in the tone output amplitudes. The simplified recursion is analyzed to determine what combination of signals power and initialization on coefficient vectors leads to "lock" and what leads to the capture of the interferer. The method to determine lock and capture zone boundaries is analyzed. These convergence properties of the GCMA are studied by computer simulations.

关键词： Impulsive interference alpha-stable process Fractional lower-order statistics constant modulus algorithm Adaptive blind beam forming

来源：评论

学校读者我要写书评

暂无评论

Adaptive Blind Equalization for MIMO Systems under α-Stable Noise Environment

引用

IEEE COMMUNICATIONS LETTERS 2009年第8期13卷 609-611页

作者： Li Sen Qiu Tianshuang Zha Daifeng Dalian Univ Technol Coll Elect & Informat Engn Dalian Peoples R China Dalian Maritime Univ Informat Sci Technol Coll Dalian Peoples R China

The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for MINI systems in heavy-tailed impulsive noise is studied. A generalized multi-user constant modulus cost function by employing the fractional lower-order statistic of the equalizer input signal is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lower-order multi-user constant modulus algorithm (FLOS_MU_CMA). Computer simulations are presented to illustrate the performance of the new algorithm

关键词： alpha-stable distribution constant modulus algorithm fractional lower-order statistics MIMO equalization

来源：评论

学校读者我要写书评

暂无评论

Blind Equalization Method Based on Sparse Bayesian Learning

引用

IEEE SIGNAL PROCESSING LETTERS 2009年第4期16卷 315-318页

作者： Hwang, Kyuho Choi, Sooyong Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

A novel adaptive blind equalization method based on sparse Bayesian learning (blind relevance vector machine (RVM) equalizer) is proposed. This letter incorporates a Godard or constant modulus algorithm (CMA)-like error function into a general Bayesian framework. This Bayesian framework can obtain sparse solutions to regression tasks utilizing models linear in the parameters. By exploiting a probabilistic Bayesian learning framework, the sparse Bayesian learning provides the accurate model for the blind equalization, which typically utilizes fewer basis functions than the equalizer based on the popular and state-of-the-art support vector machine (SVM) -blind SVM equalizer. Simulation results show that the proposed blind RVM equalizer provides improved performances in terms of complexity, stability and intersymbol interference (ISI) and bit error rate (BER) in a linear channel and a similar BER performance in a nonlinear channel compared to the blind SVM equalizer.

关键词： Blind equalization constant modulus algorithm relevance vector machine

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：