基于多重信号分类法的一种声矢量阵方位估计算法

为了提高声矢量阵高分辨方位估计的性能,文中提出了一种矢量阵MUSIC方位估计算法。该算法先构造声矢量阵声压和振速组合输出的互协方差矩阵,然后进行MUSIC方位估计。理论分析和计算机仿真表明,文中算法比传统声矢量阵MUSIC方位估计算法有更好的双目标分辨能力和弱目标方位估计能力,湖试结果也表明文中算法有更好的目标方位估计性能。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。

A bearing estimation algorithm using an acoustic vector sensor array based on MUSIC

To improve the high resolution performance of azimuth angle estimation using an Acoustic Vector Sensor Array (AVSA),a MUSIC algorithm based on AVSA was carried out.The pressure and particle velocity cross-covariance matrix was constructed for the MUSIC algorithm.Theoretical analysis,computer simulations and result of lake experiment show that the proposed algorithm is more effective than existing algorithms in resolution and accuracy in the case of low signal-to-noise ratio (SNR).The algorithm is based on the principle of coherency between pressure and particle velocity,which can suppress interference better than existing algorithms in isotropic noise field.Using the MUSIC algorithm,the AVSA obtains much more gain and has advanced performance in azimuth angle estimation.