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Wideband Gaussian Source Processing Using a Linear Nested Array

delete2013-11-01
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K
Keyong Han *
A
Arye Nehorai
DOI:10.1109/LSP.2013.2281514delete
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Abstract

Abstract

En 中文
Based on a recently proposed linear nested array, we consider the problem of source number detection and direction of arrival estimation for wideband Gaussian sources. This array provides O(N-2) degrees of freedom wit O(N) sensors, enabling us to estimate K sources with N < K sensors. To employ the nested array for the wideband case, we propose effective strategies to apply nested-array processing to each frequency component, and combine all the spectral information of various frequencies to conduct the detection and estimation. In particular, for source detection, we propose a novel approach employing the idea of ensemble, used in machine learning and statistics. Numerical simulations demonstrate the advantages of our strategies.
Keywords:
Direction of arrival estimation
ensemble
nested array
source number detection
wideband source
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

W
washington university (wustl)
Scholars:
5.5W
Papers: 4.5W
Citations: 70
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