声矢量阵降维平行因子模型及方位估计方法  

DOA estimation method based on dimension descended PARAFAC model of vector hydrophone array

作　　者：程锦房[1] 秦一平[1] 何光进 

机构地区：[1]海军工程大学兵器工程系,武汉430033 [2]海军驻某军事代表处,昆明650031

出　　处：《海军工程大学学报》2015年第3期53-57,共5页Journal of Naval University of Engineering

基　　金：国家部委基金资助项目(4010709010201)

摘　　要：针对原有的声矢量阵三阶PARAFAC(平行因子)模型维数高、参数求解过程运算量大的缺点,建立了一种降维的PARAFAC模型。将声矢量阵看作空间共点的声压传感器子阵和振速传感器子阵,计算各子阵输出数据的自协方差,并构造了三阶张量,最后证明该张量满足三阶PARAFAC模型并利用交替迭代算法估计声源参数。仿真和实测数据表明:该方法可以用于多目标方位估计且估计精度优于超分辨率的ESPRIT算法。As the existing PARAFAC（Parallel Factor）model of vector hydrophone array（VHA）has a large dimension and needs a large amount of complex computation during the parameters estimation,a PARAFAC model with a smaller dimension is established.First,a single VHA is regarded as several parallel sub-arrays：apressure sensor sub-array and two/three velocity sensor sub-arrays.Second,auto-covariance matrix of each sub-array is calculated to form a third order tensor.The tensor is verified so as to meet a third order PARAFAC model,and the unknown parameters are obtained from TALS operations.Simulations and experiments show that the dimension-descending PARAFAC model can be used to find the DOAs of multiple sound sources and that it is better in accuracy than the ESPRIT algorithm.

关 键 词：声矢量阵 方位估计 平行因子 

分 类 号：TB566[交通运输工程—水声工程]