检索结果-内蒙古大学图书馆

Recursive Least Squares semi-blind Beamforming for MIMO Using Decision Directed Adaptation and Constant Modulus Criterion

引用

International Journal of Automation and computing 2017年第4期14卷 442-449页

作者： Xia Hong Sheng Chen Department of Computer Science School of Mathematical Physical and Computational Sciences University of Reading Reading RG6 6AY UK School of Electronics and Computer Science University of Southampton Southampton SO17 1B J UK King Abdulaziz University Jeddah 21589 Saudi Arabia

A new semi-blind adaptive beamforming scheme is proposed for multi-input multi-output （MIMO） induced and spacedivision multiple-access based wireless systems that employ high order phase shift keying signaling. A minimum number of training symbols, very close to the number of receiver antenna elements, are used to provide a rough initial least squares estimate of the beamformer＇s weight vector. A novel cost function combining the constant modulus criterion with decision-directed adaptation is adopted to adapt the beamformer weight vector. This cost function can be approximated as a quadratic form with a closed-form solution, based on which we then derive the recursive least squares （RLS） semi-blind adaptive beamforming algorithm. This semi-blind adaptive beamforming scheme is capable of converging fast to the minimum mean-square-error beamforming solution, as demonstrated in our simulation study. Our proposed semi-blind RLS beamforming algorithm therefore provides an efficient detection scheme for the future generation of MIMO aided mobile communication systems.

关键词： Multi-input multi-output （MIMO） space-division multiple-access beamforming semi-blind adaptive algorithm constant modulus criterion decision-directed adaption.

来源：评论

学校读者我要写书评

暂无评论

semi-blind fast equalization of QAM channels using concurrent gradient-Newton CMA and soft decision-directed scheme

引用

INTERNATIONAL JOURNAL OF adaptive CONTROL AND SIGNAL PROCESSING 2010年第6期24卷 467-476页

作者： Chen, S. Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer's weight vector. A novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm. Copyright (C) 2009 John Wiley & Sons, Ltd.

关键词： channel equalization quadrature amplitude modulation semi-blind adaptive algorithm constant modulus algorithm soft decision-directed adaptation stochastic-gradient algorithm gradient-Newton algorithm minimum mean-square error

来源：评论

学校读者我要写书评

暂无评论

semi-blind adaptive Beamforming for High-throughput Quadrature Amplitude Modulation Systems

引用

International Journal of Automation and computing 2010年第4期7卷 565-570页

作者： Lajos Hanzo School of Electronics and Computer Science University of Southampton

A semi-blind adaptive beamforming scheme is proposed for wireless systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, equal to the number of receiver antenna arrayts elements, are first utilised to provide a rough initial least squares estimate of the beamformer＇s weight vector. A concurrent constant modulus algorithm and soft decision-directed scheme is then applied to adapt the beamformer. This semi-blind adaptive beamforming scheme is capable of converging fast to the minimum mean-square-error beamforming solution, as demonstrated in our simulation study.

关键词： Beamforming minimum mean square error quadrature amplitude modulation semi-blind adaptive algorithm constant modulus algorithm soft decision-directed scheme.

来源：评论

学校读者我要写书评

暂无评论

semi-blind adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2008年第11期7卷 4486-4491页

作者： Chen, S. Yao, W. Hanzo, L. Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

This contribution investigates semi-blind adaptive spatial filtering or equalisation for multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation (QAM) signalling. A minimum number of training symbols, equal to the number of receivers (we assume that the number of transmitters is no more than that of receivers), are first utilized to provide a rough least squares channel estimate of the system's MIMO channel matrix for the initialization of the spatial equalizers' weight vectors. A constant modulus algorithm aided soft decision-directed blind algorithm, originally derived for blind equalization of single-input single-output and single-input multiple-output systems employing high-order QAM signalling, is then extended to adapt the spatial equalizers for MIMO systems. This semi-blind scheme has a low computational complexity, and our simulation results demonstrate that it converges fast to the minimum mean-square-error spatial equalization solution.

关键词： Multiple-input multiple-output quadrature amplitude modulation spatial equalisation semi-blind adaptive algorithm concurrent constant modulus algorithm and soft decision-directed scheme

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：