Title :
Localization of sources radiating on a large antenna
Author_Institution :
GREYC, ENSICAEN, Caen, France
Abstract :
In this paper, we present a subspace-based method for direction finding for radiolocation of localization of mobile station. Indeed, an original partition of the data cross-spectral matrix is proposed in order to use a small part of the observations to estimate the noise subspace projector without eigendecomposition, when the number of sensors of antennas is very larger than the number of sources. Once, at least two angles of arrival of the mobile station are estimated by two different antennas, the position of the mobile is then calculated. Finally, to demonstrate the efficiency of the proposed method, performance results are presented.
Keywords :
antenna arrays; direction-of-arrival estimation; matrix algebra; mobile radio; radio direction-finding; angle-of-arrival estimation; data cross-spectral matrix; direction finding; large antenna; mobile station localization; noise subspace projector estimation; radiolocation; sources localization; subspace-based method; Arrays; Base stations; Matrix decomposition; Mobile communication; Noise; Sensors; Vectors;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1