CANDECOMP/PARAFAC (CP) direction finding with multi-scale array

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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].
Original languageEnglish
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages224-227
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: 15 Dec 201318 Dec 2013

Conference

Conference2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
CountryFrance
CitySaint Martin
Period15/12/1318/12/13

ASJC Scopus subject areas

  • Computer Science Applications

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