DocumentCode
2923673
Title
CANDECOMP/PARAFAC (CP) direction finding with multi-scale array
Author
Miron, Sebastian ; Yang Song ; Brie, David ; Wong, Kainam Thomas
Author_Institution
CRAN, Univ. de Lorraine, Vandoeuvre, France
fYear
2013
fDate
15-18 Dec. 2013
Firstpage
224
Lastpage
227
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].
Keywords
array signal processing; direction-of-arrival estimation; geometry; CANDECOMP-PARAFAC direction finding; CP model; DOA; ESPRIT-based approach; array geometry; direction of arrival estimation algorithm; multiscale array; spatial invariances; Arrays; Distance measurement; Estimation; Minimization; Radar; Sonar; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location
St. Martin
Print_ISBN
978-1-4673-3144-9
Type
conf
DOI
10.1109/CAMSAP.2013.6714048
Filename
6714048
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