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首页> 外文期刊>IEEE Transactions on Signal Processing >Wavefield modeling and array processing .I. Spatial sampling
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Wavefield modeling and array processing .I. Spatial sampling

机译:波场建模和阵列处理空间采样

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We introduce the concept of wavefield modeling and study its relationship to array professing and direction finding. We show how the output of an array can be written as the product of a wavefield independent sampling matrix and an array independent coefficient vector. Using this decomposition, we derive the conditions under which the array output may be linearly interpolated to give the array output of a different array, within a desired accuracy. We proceed to show under what conditions the array output may be linearly interpolated to give the value of the wavefield over a continuous manifold. As a result, we also derive conditions under which the array manifold may be linearly transformed between frequencies. Finally, we treat the case where the sources are known to be limited to specific, possibly disjoint angular sectors of arbitrary shape, and show how the sampling matrix can in this case be replaced by a modified sampling matrix of lower rank. This result yields a straightforward extension of the formalism presented in this paper to the Ease of limited angular sectors. In two companion papers, we use wavefield modeling to derive practical algorithms and bounds on the performance of arrays.
机译:我们介绍了波场建模的概念,并研究了其与阵列专业研究和测向的关系。我们展示了如何将阵列的输出写成与波场无关的采样矩阵与与阵列无关的系数向量的乘积。使用这种分解,我们得出可以在期望的精度内线性插值数组输出以给出不同数组的数组输出的条件。我们继续说明在什么条件下可以对阵列输出进行线性插值以给出连续流形上的波场值。结果,我们还导出了阵列流形可以在频率之间线性变换的条件。最后,我们处理已知源仅限于任意形状的特定的,可能不相交的角扇区的情况,并说明在这种情况下如何将采样矩阵替换为较低等级的修改后的采样矩阵。该结果将本文介绍的形式主义直接扩展为有限角度扇区的缓和。在两篇随附的论文中,我们使用波场建模来得出实用的算法和阵列性能的界限。

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