Localization of impulsive sources in the ocean using the method of images

Too Yuen Min, M. Chitre
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引用次数: 5

Abstract

Impulsive transient signals produced by snapping shrimp dominate the high frequency ambient noise in warm shallow waters. A receiver not only observes the direct arrival of the snap from the shrimp, but also multipath reflections from scattering boundaries such as the sea surface, seabed, etc. We formulate a geometric model corresponding to one direct arrival and one surface reflection. The originating location of a snap can be extracted from the model if the exact position of each element in the receiver array is known. In practice, we only have coarse prior knowledge of the array depth and orientation, and the exact array element locations have to be estimated. The situation is further complicated by the fact that many snaps occur concurrently, and associating a snap with its reflection is a nontrivial problem. We use least logarithmic absolute (LLA) criteria to explore the unknown parameter in this joint estimation and association problem. The association can be further refined based on the complete geometric model. We outline our method and present a numerical simulation to test the performance of the estimator. Results from a dataset collected in Singapore waters using a broadband small-aperture phased array are illustrated. We compare the results with previous findings, demonstrating that accurate passive localization of known structures in the ocean using natural noise made by snapping shrimp inhabiting the structures can be achieved.
基于图像的海洋脉冲源定位方法
在温暖的浅水中,捕虾产生的脉冲瞬态信号占高频环境噪声的主导地位。接收器不仅观察到虾的直接到达,而且还观察到海面、海底等散射边界的多径反射。我们建立了一个对应于一个直接到达和一个表面反射的几何模型。如果接收器阵列中每个元素的确切位置已知,则可以从模型中提取出快照的原始位置。在实际操作中,我们对数组的深度和方向只有粗略的先验知识,并且必须估计数组元素的确切位置。由于许多快照同时发生,并且将快照与其反射关联起来是一个非常重要的问题,因此情况进一步复杂化。在联合估计和关联问题中,我们使用最小对数绝对(LLA)准则来探讨未知参数。这种关联可以基于完整的几何模型进一步细化。我们概述了我们的方法,并给出了一个数值模拟来测试估计器的性能。使用宽带小孔径相控阵在新加坡水域收集的数据集的结果进行了说明。我们将结果与先前的研究结果进行了比较,表明可以利用捕获居住在该结构中的虾所产生的自然噪声来实现海洋中已知结构的精确被动定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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