Multilinear direction finding for sensor-array with multiple scales of invariance

Sebastian Miron; Yang Song; David Brie; Kainam Thomas Wong

doi:10.1109/TAES.2015.130576

Multilinear direction finding for sensor-array with multiple scales of invariance

Sebastian Miron, Yang Song, David Brie, Kainam Thomas Wong

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

18 Citations (Scopus)

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].

Original language	English
Article number	7272852
Pages (from-to)	2057-2070
Number of pages	14
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	51
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2015.130576
Publication status	Published - 1 Jul 2015

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/TAES.2015.130576

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Multilinear direction finding for sensor-array with multiple scales of invariance

Abstract

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