This passage discusses a method for estimating the DOA (direction-of-arrival) of broadband signal targets on the surface of a cylindrical baffle using a circular acoustic vector sensor array and based on the Minimum Variance Distortionless Response (MVDR) algorithm with joint processing of sound pressure and particle velocity. The approach employs a cylindrical baffle scattering sound field model and, according to the theory of frequency-invariant response, transforms signals at various frequency points within the bandwidth of the circular acoustic vector sensor array. It uses the transformed sound pressure and different velocity components to construct the sound pressure and particle velocity cross-covariance matrix. The spatial correlation between sound pressure and velocity components is utilized to suppress isotropic noise fields. Subsequently, the extended cross-covariance matrix for the summed and vertically arranged broadband signals is obtained, followed by singular value decomposition and reconstruction. Finally, the reconstructed cross-covariance matrix is employed for MVDR beamforming to achieve DOA estimation of targets under cylindrical baffle conditions with frequency-invariant response. Simulation and experimental data processing results indicate that, for broadband DOA estimation with a circular acoustic vector sensor array under cylindrical baffle, the joint processing of sound pressure and particle velocity using the MVDR method exhibits stronger noise suppression capabilities and higher DOA estimation performance compared to the Nehorai method. Additionally, for the joint processing of broadband signal sound pressure and particle velocity, vertically arranged cross-covariance matrices outperform summed cross-covariance matrices in terms of DOA estimation performance.

中文翻译：

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圆柱形挡板上宽带信号圆形声矢量传感器阵列的频率不变到达方向估计

本文讨论了一种使用圆形声学矢量传感器阵列并基于最小方差无失真响应（MVDR）算法和联合处理来估计圆柱形挡板表面宽带信号目标的 DOA（到达方向）的方法。声压和粒子速度。该方法采用圆柱形挡板散射声场模型，根据频率不变响应理论，在圆形声矢量传感器阵列的带宽内对各个频率点的信号进行变换。它使用变换后的声压和不同的速度分量来构造声压和粒子速度互协方差矩阵。利用声压和速度分量之间的空间相关性来抑制各向同性噪声场。随后，获得求和并垂直排列的宽带信号的扩展互协方差矩阵，然后进行奇异值分解和重构。最后，利用重构的互协方差矩阵进行MVDR波束形成，实现圆柱挡板条件下目标的频率不变响应的DOA估计。仿真和实验数据处理结果表明，对于圆柱形挡板下圆形声矢量传感器阵列的宽带DOA估计，MVDR方法的声压和粒子速度联合处理比传统方法具有更强的噪声抑制能力和更高的DOA估计性能。涅霍莱方法。此外，对于宽带信号声压和粒子速度的联合处理，垂直排列的互协方差矩阵在 DOA 估计性能方面优于求和互协方差矩阵。