摘要
矢量水听器可同时拾取声压和振速信息,成阵后水听器间的相移信息量增大.基于矢量水听器阵的波束形成性能明显由于单纯声压水听器阵.矢量水听器阵可用常规方法进行波束形成,但其方位分辨率有限.已经有人研究了矢量水听器阵的最小方差无失真响应波束形成算法(MVDR),但属于对阵元域信号进行的直接处理,运算量较大.本文提出一种基于矢量水听器阵的波束域MVDR算法(BMVDR).该算法首先将矢量水听器阵元的空间数据转换到波束空间,然后对转换后的数据再运用MVDR算法.结果,不但实现了降维处理,减小了运算量,同时可进一步抑制扫描扇面外的噪声.对BMVDR算法进行了仿真并与常规MVDR算法进行了比较.结果表明,本文方法可得到与常规MVDR算法相当的方位分辨能力.
Since the vector sensor can simultaneously pick up the sound pressure and vibration velocity, the information of phase shift among the sensors increases after being formed the array. The beamforming performance based on vector sensor array is obviously better than the pressure sensor array. The beamforming in a vector sensor array can be realized by using the conventional method, but its resolution is limited. The minimum variance distortionless response beamforming algorithm (MVDR) has been studied, but it is based on processing the signals from the elements of the array, and hence the computational cost is large. A beam domain MVDR algorithm (BMVDR) based on the vector sensor array was used in this paper. In this algorithm, the spatial data from the elements of the vector sensors array are transformed to that in the beam space at first, then MVDR algorithm is used for the transformed data. As a result, the dimension reduced processing is realized and the computational cost is decreased, in addition, the noise outside the scanning sector can be reduced further. The computer simulation has been done for BMVDR and compared with the conventional MVDR. The results indicate that by using the algorithm proposed in this paper, the obtained resolution is similar to that of the conventional MVDR.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
2004年第3期295-298,共4页
Journal of Harbin Engineering University
