声矢量圆阵相位模态域目标方位估计

为了实现矢量传感器在圆阵阵型下的应用,文中提出了一种适合于声矢量圆阵的目标方位估计算法。该算法首先将声矢量圆阵阵元域信号分解为一系列相互正交的相位模态,在相位模态域构造声压和质点振速的互协方差矩阵,然后进行MUSIC方位估计.理论分析和仿真结果表明,文中算法比相同阵型的声压阵MUSIC方位估计算法具有更好的噪声抑制能力、方位估计性能以及多目标分辨能力,试验结果也表明本文算法具有更好的噪声抑制能力以及更好的目标方位估计性能。该算法实现了声压和质点振速的相干处理,充分利用了声矢量传感器的平均声强抗噪原理,具有较强的抗各向同性噪声能力,并可以将子空间类DOA(Direction of Arrival)估计算法和相位模态域阵列信号处理技术有机结合起来,实现了声矢量传感器在圆阵阵型条件下的高分辨DOA估计。 

Direction-of-arrival estimation based on phase modal space for a uniform circular acoustic vector-sensor array

In order to solve the problem of DOA (Direction of Arrival) estimation of targets for a Uniform Circular Acoustic Vector-Sensor Array (UCAVSA), a MUSIC algorithm for a UCAVSA is proposed. The pressure field and the particle velocity field are decomposed into an orthogonal set of phase modals by applying the method of wavefield decomposition. The method to construct pretreatment matrix, which transform the received signals from element space to phase modal space, is proposed for MUSIC algorithm. Simulation and experimental results show that the UCAVSA has distinct advantages over the same manifold of traditional uniform circular pressure-sensor array (UCPSA) in anti-noise performance, resolution and accuracy. The algorithm is based on the principle of coherency between pressure and particle velocity, which can suppress interference in isotropic noise field. The algorithm could combine the anti-noise performance of the Vector-Sensor with spatial resolution performance of array system to solve the problem of high-resolution DOA estimation of remote targets for UCAVSA.