Vector-Sensor Array Processing for Polarization Parameters and DOA Estimation

This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival....

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Veröffentlicht in:EURASIP journal on advances in signal processing Jg. 2010; H. 1; S. 1 - 13
Hauptverfasser: Paulus, Caroline, Mars, Jérôme I.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.01.2010
Springer Nature B.V
SpringerOpen
Schlagworte:
Algorithms
Antennas
Arrays
Computer Science
Engineering
Engineering Sciences
Fourier transforms
Mathematical analysis
Mathematics
Matrices
Noise
Parameter estimation
Polarization
Propagation
Quantum Information Technology
Research Article
Seismic phenomena
Sensor arrays
Sensors
Signal and Image processing
Signal,Image and Speech Processing
Spintronics
Studies
Vectors (mathematics)
Wideband
Signal Subspace
Steering Vector
Uniform Linear Array
Polarization Parameter
Noise Subspace
ISSN:1687-6180, 1687-6172, 1687-6180
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applications where vector sensor antennas technology is involved such as seismic processing, electromagnetic fields studies, and telecommunications. Compared to the classic techniques, the proposed method is based on computation of multicomponent wideband spectral matrices which enable to take into account all information given by the vector sensor array structures and thus provide a complete characterization of a larger number of sources.
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ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1155/2010/850265