Recursive Least Squares Semi-blind Beamforming for MIMO Using Decision Directed Adaptation and Const

来源 :International Journal of Automation and Computing | 被引量 : 0次 | 上传用户:playchild
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
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. 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.
其他文献
For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple
In this paper, a robust fractional order fuzzy P + fuzzy I + fuzzy D(FOFP + FOFI + FOFD) controller is presented for a nonlinear and uncertain 2-link planar rig
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生、测量监控等方面人手,介绍了S226海滨大桥
近读沈英森教授主编、广东人民出版社新版,研读后,深感它是一本论述岭南医学史的好书,特色明显,受益匪浅.
期刊
Existing tracking algorithms often suffer from the drift and lost problems caused by factors such as pose variation,illumination change, occlusion and motion. Therefore, developing a robust and effect
Evaluating individuals personality traits and intelligence from their faces plays a crucial role in interpersonal relationship and important social events such as elections and court sentences. To ass
Surface particles growing in large aperture optical element(LAOE) have significant impact on LAOE s stable operation.It is a challenge for the online system to
In order to solve the problem of indoor place recognition for indoor service robot, a novel algorithm, clustering of features and images(CFI), is proposed in this work. Different from traditional indo
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生、测量监控等方面人手,介绍了S226海滨大桥