首页 | 本学科首页   官方微博 | 高级检索  
     

矢量阵信号子空间投影波束形成
引用本文:李楠,程锦房,何光进,张炜. 矢量阵信号子空间投影波束形成[J]. 数据采集与处理, 2013, 28(2): 190
作者姓名:李楠  程锦房  何光进  张炜
作者单位:海军工程大学兵器工程系,武汉,430033
摘    要:针对常规波束形成无法充分发挥矢量阵抗干扰性能的问题,提出了基于信号子空间投影的波束形成方法.对声矢量阵接收信号进行三阶张量建模,利用高阶奇异值分解得到信号子空间,并将阵列流形矢量投影于其上,从而得到相应的空间谱计算方法.计算机仿真试验验证了该方法的有效性.

关 键 词:矢量阵  信号子空间投影  高阶奇异值分解
收稿时间:2012-03-31
修稿时间:2012-06-12

Beam forming based on signal subspace projection for vector sensor array
Li Nan,Cheng Jin-fang,He Guang-jin and Zhang Wei. Beam forming based on signal subspace projection for vector sensor array[J]. Journal of Data Acquisition & Processing, 2013, 28(2): 190
Authors:Li Nan  Cheng Jin-fang  He Guang-jin  Zhang Wei
Affiliation:Department of Weaponry Engineering, Naval University of Engineering,Department of Weaponry Engineering, Naval University of Engineering,Department of Weaponry Engineering, Naval University of Engineering,Department of Weaponry Engineering, Naval University of Engineering
Abstract:Considering that the conventional beam forming based on an acoustic vector sensor array (AVSA) cannot demonstrate the anti-interference capability of AVSA, a direction estimation algorithm based on the signal subspace projection is put forward. In this paper, the 3rd order tensor of the received signals from AVSA is modeled and the signal subspace is derived from higher order singular value decomposition(HOSVD) and the calculation process of spatial spectrum is given by the projection of array manifold vector onto it ,exploiting multidimensional data structure inherently, with lower side lobe which can suppress noise sufficiently. The simulation result shows that the proposed algorithm is feasible which has important engineering significance.
Keywords:Vector sensor array   Signal subspace projection   HOSVD
本文献已被 万方数据 等数据库收录!
点击此处可从《数据采集与处理》浏览原始摘要信息
点击此处可从《数据采集与处理》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号