Please use this identifier to cite or link to this item:
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
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].
ISBN: 978-1-4673-3144-9
DOI: 10.1109/CAMSAP.2013.6714048
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 21, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.