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Quasi-Fluid-Mechanics-Based Quasi-Bayesian Cramer-Rao Bounds for Deformed Towed-Array Direction Finding

机译:基于拟流体力学的拟贝叶斯Cramer-Rao界用于变形拖曳阵列测向

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摘要

New quasi-Bayesian (hybrid) Cramer-Rao bound (CRB) expressions are herein derived for far-field deep-sea direction-of-arrival (DOA) estimation with a nominally linear towed-array that 1) is deformed by spatio-temporally correlated oceanic currents, which have been previously overlooked in the towed-array shape-deformation statistical analysis literature, 2) is deformed by temporally correlated motion of the towing vessel, which is modeled only as temporally uncorrelated in prior literature, and 3) suffers gain-uncertainties and phase-un-certainties in its constituent hydrophones. This paper attempts to bridge an existing literature gap in deformed towed-array DOA-estimation performance analysis, by simultaneously a) incorporating several essential fluid-mechanics considerations to produce a shape-deformation statistical model physically more realistic than those previously used for DOA performance analysis and b) rigorously derive a mathematical analysis to characterize quantitatively and qualitatively the DOA stimation's statistical performance. The derived CRB expressions are parameterized in terms of the towed-array's physically measurable nonidealities for the single-source case. The new hybrid-CRB expressions herein derived are numerically more stable than those in the current literature.
机译:本文推导了新的拟贝叶斯(混合)Cramer-Rao界(CRB)表达式,用于远场深海到达方向(DOA)估计,其标称线性拖曳阵列1)因时空变形相关的洋流,以前在拖曳阵列形状变形统计分析文献中被忽略,2)由于拖船的时间相关运动而变形,在以前的文献中仅被建模为时间上不相关,3)遭受增益组成水听器的不确定性和相位不确定性。本文试图通过同时拖曳a)合并一些基本的流体力学考虑因素来产生形变统计模型,从而在物理上比以前用于DOA性能分析的模型更现实,从而弥合变形拖曳阵列DOA估计性能分析中的现有文献差距。 b)严格进行数学分析,以定量和定性地描述DOA刺激的统计性能。根据单源情况下拖曳阵列的物理可测量非理想性,对派生的CRB表达式进行参数化。本文推导的新的杂交CRB表达式在数值上比当前文献更稳定。

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