DocumentCode
70612
Title
Dual-Band Vector Sensor for Direction of Arrival Estimation of Incoming Electromagnetic Waves
Author
Lomine, Jimmy ; Morlaas, Christophe ; Imbert, Christophe ; Aubert, Herve
Author_Institution
Dept. of Navig. & Surveillance, Rockwell Collins France, Blagnac, France
Volume
63
Issue
8
fYear
2015
fDate
Aug. 2015
Firstpage
3662
Lastpage
3671
Abstract
In this paper, a dual-band vector sensor using antennas spatially distributed and diversely polarized for estimating the direction of arrival (DoA) of electromagnetic fields in two frequency bands is reported for the first time. To cover the two bands the sensor is composed of six small dual-band radiating elements: three half-loops and three monopoles. The accuracy of the DoA estimation is computed from the well-known multiple signal classification algorithm. A dual-band vector sensor prototype is designed and manufactured for operating in two global system for mobile communications frequency bands. Measurement results are reported for experimental validation purpose. The extension of the proposed methodology to the design of multiband vector sensors is finally discussed.
Keywords
direction-of-arrival estimation; electromagnetic fields; electromagnetic waves; mobile communication; multifrequency antennas; signal classification; DoA estimation; direction of arrival estimation; diversely polarized antenna; dual-band radiating element; dual-band vector sensor; electromagnetic field; frequency band; incoming electromagnetic wave; mobile communications frequency band; multiple signal classification algorithm; spatially distributed antenna; Antenna measurements; Antennas; Direction-of-arrival estimation; Dual band; Estimation; Frequency estimation; Three-dimensional displays; Antenna diversity; UHF antennas; antenna diversity; direction of arrival (DoA) estimation; direction-of-arrival estimation; multifrequency antennas; ultrahigh frequency (UHF) antennas;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2015.2435039
Filename
7110332
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