Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43585
Title: Multilinear direction finding for sensor-array with multiple scales of invariance
Authors: Miron, S
Song, Y
Brie, D
Wong, KT 
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on aerospace and electronic systems, 2015, v. 51, no. 3, 7272852, p. 2057-2070 How to cite?
Journal: IEEE transactions on aerospace and electronic systems 
Abstract: In this paper, we introduce a novel direction-finding algorithm for a multiscale sensor array, that is, an array presenting multiple scales of spatial invariance.We show that the collected data can be represented as a Candecomp/Parafac model for which we analyze the identifiability properties. A two-stage algorithm for direction-of-arrival estimation with such an array is also proposed. This approach generalizes the results given in [1] to an array that presents an arbitrary number of spatial invariances.We illustrate, on two particular array geometries, that our method outperforms, in some difficult scenarios, the ESPRIT-based approach introduced in [2], the ESPRIT-MUSIC of [3], and the tensor-ESPRIT of [4].
URI: http://hdl.handle.net/10397/43585
ISSN: 0018-9251
DOI: 10.1109/TAES.2015.130576
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