基于声压振速联合处理的矢量阵旋转不变子空间方位估计方法

An Improved Bearing Estimation Algorithm Using Acoustic Vector Sensor Array Based on Rotational Invariance Technique

为提高声矢量阵旋转不变子空间法方位估计性能,提出一种基于声压振速联合处理的算法.该算法构造了声矢量阵声压和组合振速的互协方差矩阵,将均匀间隔引导角下的系列互协方差矩阵取均值,作为引导角未知的互协方差矩阵,然后进行旋转不变子空间(ESPRIT)方位估计.仿真和试验结果表明,在低信噪比时该算法比现有常规算法有更好的性能.该算法基于矢量传感器声压和振速的相干性原理,充分利用声压振速组合指向性抗干扰能力,可以更好地抑制各向同性干扰,提高阵列的处理增益,从而有更好的方位估计性能.

To improve the performance of general bearing estimation algorithm using acoustic vector sensor array （AVSA） with rotational invariance technique （ESPRIT）, an improved algorithm is proposed and carried out in this paper, which is based on the combination processing of pressure and particle velocity. The cross-covarianee matrix of pressure and particle velocity was constructed by taking the mean value of cross-covariance matrixes under even-spacing driving angles and using ESPRIT. Simulation and test result on the lake environment show that the proposed algorithm is more effective than existing algorithms in resolution and accuracy under the case of low signal-to-noise ratio. The foundation of improved algorithm is the principle of coherency between pressure and particle velocity, which could suppress interference strongly in isotropic noise field. Moreover, with the use of ESPRIT algorithm, the AVSA could obtain much more gain and have advanced performance in azimuth angle estimation.