摘要
声矢量传感器能够同时拾取空间同一点的声压振速信息,可以进行声场声强测量。据此提出了阵列声强器的概念。即当声矢量传感器成阵时,在波束域进行声强处理,以获得目标的方位信息。当空间高度欠采样时,声矢量传感器阵将产生栅瓣模糊,利用阵列声强器获得的方位信息可以抑制稀疏阵的栅瓣模糊,使得声矢量传感器阵在不增加阵元个数的前提下增大了阵列孔径,从而提高了方位分辨力。对阵列声强器去模糊性能进行了理论分析,仿真结果表明了所提算法的有效性。
The array intensity estimator was proposed on the basis that acoustic vector sensors measure the pressure and particle velocity information of one spatial point simultaneously. After extracting the available spatial spectrum in the beamspace, one can process the acoustic intensity information to get the DOA of the target. When the spatial sampling law can't be fulfilled, the spatial spectrum will lead to cyclically ambiguous DOA estimates. Using the array intensity estimator can solve the ambiguity problem of a sparse acoustic vector sensor array, thus the aperture of the array can be extended without increasing the number of the element and then offers enhanced spatial resolution. The performance of the array intensity estimator was analyzed. The simulation experiments show that the algorithm is valid.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第6期1551-1553,1558,共4页
Journal of System Simulation
基金
国家"863"计划资助(2006AA09Z234)
关键词
阵列声强器
方位估计
稀疏阵
声矢量传感器
array intensity estimator
DOA estimates
sparse array
acoustic vector sensors