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。
Considering that the conventional beam forming based on an acoustic vector sensor array （AVSA） cannot demonstrate the anti-interference capability of AVSA, a direction esti-mation algorithm based on the signal subspace projection is presented. A third-order tensor of the received signals from AVSA is modeled and the signal subspace is derived from higher-or-der singular value decomposition （HOSVD）. Then, the calculation process of spatial spectrum is given by the projection of array manifold vector onto it. Compared with the traditional singu- lar value decomposition of matrix, the noise is suppressed efficiently by the signal subspace de-rived from HOSVD of the three-order tensor, which exploited the multidimensional data struc-ture inherently, so the space spectrum is exhibited with lower side lobe. The simulation results show that the proposed algorithm is feasible.
出处
《数据采集与处理》
CSCD
北大核心
2013年第2期190-194,共5页
Journal of Data Acquisition and Processing
基金
国家部委基金(4010709010201)资助项目
关键词
矢量阵
信号子空间投影
高阶奇异值分解
vector sensor array
signal subspace projection
higher-order singular value decom-position （HOSVD）
