基于直接数据域方法的自适应多波束形成算法  被引量:3

An Adaptive Multiple Beamforming Algorithm Based on Direct Data Domain Approach

在线阅读下载全文

作  者:邵尉[1] 钱祖平[1] 陶冶[1] 

机构地区:[1]解放军理工大学通信工程学院,南京210007

出  处:《微波学报》2008年第2期7-11,共5页Journal of Microwaves

基  金:江苏省自然科学基金项目(BK2004016)

摘  要:提出一种基于直接数据域最小二乘方法的自适应多波束形成算法,包括前向计算、后向计算和前-后向计算。利用天线阵元输出复电压的单快拍数据构建矩阵方程,采用共轭梯度法求解得到阵列的自适应权值向量,从而在所有期望信号方向形成接收波束,同时在各干扰方向形成深零陷,使信干噪比显著提高。由于只需对单快拍数据进行处理,并且避免了样本协方差矩阵的构造及矩阵求逆运算,故计算复杂度较传统算法低。仿真结果表明,算法具有良好的期望信号恢复和干扰置零性能。因此,可适用于卫星通信和移动通信等领域的实时性处理。An adaptive multiple beamforming algorithm based on D3 LS ( direct data domain least squares) approach is presented in this paper, including forward procedure, backward procedure and forward-backward procedure. A single snapshot data of the complex voltages measured at array elements is used to form the matrix equation, which is solved with the conjugate gradient method to obtain the adaptive weight vector of array. Finally, beams are formed along the DOAs ( direction of arrival) of SOIs ( signal of interest) and deep nuUings are made along the DOAs of interferences to improve the SINR ( sig- nal-to-interference-plus-noise ratio) greatly. The proposed algorithm has a lower computation complexity than conventional algorithms as it processes only a single snapshot data as opposed to forming the sample covariance matrix and performing matrix inversion operation. Simulation results show the proposed algorithm has good SOIs recovery and interferences suppression performance. Therefore, it can be used for the real-time processing in the fields of satellite communication and mobile communication.

关 键 词:直接数据域最小二乘方法 自适应多波束形成 单快拍处理 

分 类 号:TN927[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象