Hadamard Product Perspective on Source Resolvability of Spatial-smoothing-based Subspace Methods

Zai Yang; Petre Stoica

ICASSP 2019accepted0 citations

Hadamard Product Perspective on Source Resolvability of Spatial-smoothing-based Subspace Methods

Abstract

Spatial smoothing is a common preprocessing scheme for subspace methods that resolves their sensitivity to coherent sources. The source resolvability problem of spatial-smoothing-based subspace methods has been extensively investigated using different analysis techniques. In this paper, a unified Hadamard product technique is provided to recover these results. This is done by answering a long-standing question in linear algebra as to under what conditions the Hadamard product of two singular positive-semidefinite matrices is positive definite.

BibTeX

@inproceedings{icassp2019_hadamardproductp,
  title = {Hadamard Product Perspective on Source Resolvability of Spatial-smoothing-based Subspace Methods},
  author = {Zai Yang and Petre Stoica},
  booktitle = {ICASSP 2019},
  year = {2019}
}