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On the Size of the DOA Manifold

机译:关于DOA流形的大小

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摘要

We discuss the size of the set of all vectors that can be described as a linear combination of K steering vectors relative to the size of the M-dimensional ambient space. This set is an infinite union of K-dimensional subspaces or a K-dimensional manifold in C(exp M). If this set was a finite union of subspaces, e.g., because only steering vectors corresponding to an angular grid of, say, N grid points are allowed, then K logN < M would be an adequate measure in the context of compressive sensing. We discuss why this is a good measure and how a generalization to the grid-less case can be obtained.
机译:我们讨论了所有向量集合的大小,这些向量可以描述为K个转向向量相对于M维环境空间大小的线性组合。该集合是C(exp M)中K维子空间或K维流形的无穷大并集。如果该集合是子空间的有限并集,例如,因为仅允许对应于例如N个网格点的角网格的操纵矢量,则在压缩感测的情况下,K logN

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