Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12777
Title: CANDECOMP/PARAFAC (CP) direction finding with multi-scale array
Authors: Miron, S
Song, Y
Brie, D
Wong, KT 
Keywords: Array signal processing
Direction-of-arrival estimation
Geometry
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 15-18 December 2013, St. Martin, p. 224-227 How to cite?
Abstract: In this paper, we introduce a novel direction of arrival (DOA) estimation algorithm for an array presenting multiple scales of invariance, based on a CANDECOMP/PARAFAC (CP) model of the data. The proposed approach is a generalization of the results given in [1] to an array presenting an arbitrary number of spatial invariances. We show, on a particular array geometry, that our method could out-perform the ESPRIT-based approach introduced in [2].
URI: http://hdl.handle.net/10397/12777
ISBN: 978-1-4673-3144-9
DOI: 10.1109/CAMSAP.2013.6714048
Appears in Collections:Conference Paper

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