DocumentCode
238086
Title
Pattern compensation for DOA estimation by electromagnetic vector sensors
Author
Yilong Lu ; Ling Huang
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
16-18 June 2014
Firstpage
1
Lastpage
4
Abstract
Vector sensors are made of electric dipoles and magnetic loops. A full six vector sensor can measure the complete six electric and magnetic field components at one point in the space. Vector sensor concept was proposed from signal processing community and associated direction of arrival (DOA) estimation algorithm was based on isotropic radiation model. This paper shows that the radiation pattern compensation of sensor element is necessary for practical DOA application with improved accuracy, from more than 12° to about 1° for a realistic signal of 10 dB SNR. As a useful example, we consider a simpler yet more popular low-grazing angle application with a reduced vector sensor of two magnetic loop sensor elements for DOA estimation of a low-grazing angle source with vertical polarization. The reduced vector sensor can greatly simplify the system design, fabrication, measurement, and data processing.
Keywords
antenna radiation patterns; array signal processing; direction-of-arrival estimation; electric fields; electromagnetic devices; electromagnetic wave polarisation; magnetic fields; magnetic sensors; DOA estimation; SNR; data processing; direction-of-arrival estimation; electric dipole; electromagnetic vector sensor antenna; isotropic radiation model; low-grazing angle source; magnetic loop; pattern compensation; radiation pattern compensation; signal processing community; signal-to-noise ratio; vertical polarization; Azimuth; Direction-of-arrival estimation; Estimation; Magnetic fields; Magnetic sensors; Vectors; DOA estimation; Vector sensor; antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
Conference_Location
Gdansk
Print_ISBN
978-617-607-553-0
Type
conf
DOI
10.1109/MIKON.2014.6899917
Filename
6899917
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