DocumentCode
1041708
Title
An efficient vector sensor configuration for source localization
Author
Tabrikian, J. ; Shavit, R. ; Rahamim, D.
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Volume
11
Issue
8
fYear
2004
Firstpage
690
Lastpage
693
Abstract
An electromagnetic vector-sensor enables estimation of the direction of arrival (DOA) and polarization of an incident electromagnetic wave with arbitrary polarization. In this letter, an efficient vector-sensor configuration is proposed. This configuration includes the minimal number of sensors, which enables DOA estimation of an arbitrary polarized signal from any direction except two opposite directions on the z-axis. The configuration is obtained by analyzing the Cramer-Rao lower bound (CRLB) for source localization using a single vector-sensor. The resulting vector-sensor configuration consists of two electric and two magnetic sensors. It is shown that this quadrature configuration satisfies the necessary and sufficient conditions for the DOA estimation problem. The CRLB for DOA estimation of signals in the azimuth plane is identical for the quadrature and the complete vector-sensor configurations.
Keywords
array signal processing; direction-of-arrival estimation; electromagnetic wave polarisation; magnetic sensors; Cramer-Rao lower bound; DOA estimation; Fisher information matrix; direction of arrival estimation; electric sensor; electromagnetic vector-sensor; electromagnetic wave polarization; magnetic sensor; quadrature configuration; source localization; vector sensor configuration; Azimuth; Direction of arrival estimation; Electromagnetic scattering; Electromagnetic wave polarization; Magnetic analysis; Magnetic sensors; Sensor arrays; Sensor phenomena and characterization; Sufficient conditions; Voltage; CRLB; Cramer-Rao lower bound; DOA; FIM; Fisher information matrix; direction-of-arrival; electromagnetic vector sensors; estimation; polarization; quadrature vector sensor; source localization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2004.831682
Filename
1316887
Link To Document