A CANDECOMP/PARAFAC Perspective on Uniqueness of DOA Estimation Using a Vector Sensor Array

We address the uniqueness problem in estimating the directions-of-arrival (DOAs) of multiple narrowband and fully polarized signals impinging on a passive sensor array composed of identical vector sensors. The data recorded on such an array present the so-called "multiple invariances," whi...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 59; H. 7; S. 3475 - 3481
Hauptverfasser:	Xijing Guo, Miron, S, Brie, D, Shihua Zhu, Xuewen Liao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.07.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Arrays CANDECOMP/PARAFAC uniqueness Coherence Computer Science Data models Decomposition Detection, estimation, filtering, equalization, prediction Direction of arrival estimation Engineering Sciences Exact sciences and technology identifiability Information, signal and communications theory Loading Mathematical analysis Matrix decomposition Miscellaneous Narrowband polarization Sensor arrays Signal and communications theory Signal and Image Processing Signal processing Signal, noise Studies Telecommunications and information theory Tensile stress Uniqueness vector sensor array processing Vectors Vectors (mathematics) Passive component vector sensor array processing Parameter estimation Direction-of-arrival estimation Identifiability Array signal processing Signal estimation Invariance Narrow band CANDECOMP/PARAFAC uniqueness Upper bound Sufficient condition PARAFAC decomposition Signal processing polarization Sensor array Signal detection identifiability Vector sensor array processing
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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