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Acoustic vector-sensor processing in the presence of a reflecting boundary

机译:反射边界存在下的声矢量传感器处理

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We consider the passive direction-of-arrival (DOA) estimation problem using arrays of acoustic vector sensors located in a fluid at or near a reflecting boundary. We formulate a general measurement model applicable to any planar surface, derive an expression for the Cramer-Rao bound (CRB) on the azimuth and elevation of a single source, and obtain a bound on the mean-square angular error (MSAE). We then examine two applications of great practical interest: hull-mounted and seabed arrays. For the former, we use three models for the hull: an ideal rigid surface for high frequency, an ideal pressure-release surface for low frequency, and a more complex, realistic layered model. For the seabed scenario, we model the ocean floor as an absorptive liquid layer. For each application, we use the CRB, MSAE bound, and beam patterns to quantify the advantages of using velocity and/or vector sensors instead of pressure sensors. For the hull-mounted application, we show that normal component velocity sensors overcome the well-known, low-frequency problem of small pressure signals without the need for an undesirable "stand-off" distance. For the seabed scenario, we also derive a fast wideband estimator of the source location using a single vector sensor.
机译:我们使用位于反射边界处或附近的流体中的声学矢量传感器阵列来考虑被动到达方向(DOA)估计问题。我们制定了适用于任何平面的通用测量模型,推导了单个源的方位角和仰角上的Cramer-Rao约束(CRB)表达式,并获得了均方角误差(MSAE)的边界。然后,我们研究了两个非常实用的应用程序:船体安装和海底阵列。对于前者,我们为船体使用三个模型:用于高频的理想刚性表面,用于低频的理想压力释放表面以及更复杂,更逼真的分层模型。对于海床场景,我们将海床建模为吸收性液体层。对于每种应用,我们使用CRB,MSAE边界和波束图来量化使用速度和/或矢量传感器而不是压力传感器的优势。对于船体安装应用,我们证明了常规分量速度传感器克服了众所周知的低频信号压力较小的问题,而无需不希望的“间隔”距离。对于海床场景,我们还使用单个矢量传感器导出源位置的快速宽带估计器。

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