DocumentCode :
290505
Title :
A reduced complexity ESPRIT method and its generalization to an antenna of partially unknown shape
Author :
Marsal, Alain ; Marcos, Sylvie
Author_Institution :
Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
Volume :
iv
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
We address the problem of finding a source bearing estimation method with low complexity and which is capable of dealing with uncertainties on the array geometry. This problem is important, for example, in the case of large towed arrays which may deviate from their assumed linear shape. We here consider the ESPRIT method as a candidate for dealing with this problem. We use the properties of the propagator to reduce the complexity of the ESPRIT method involved by the eigendecomposition and to generalize it, in conjunction with the interpolation of arrays, to the case of an array whose geometry is only known for a number of sensors equal to the number of sources
Keywords :
antenna arrays; computational complexity; direction-of-arrival estimation; interpolation; matrix decomposition; antenna; array geometry; eigendecomposition; interpolation; large towed arrays; linear shape; low complexity; partially unknown shape; reduced complexity ESPRIT method; source bearing estimation method; Antenna accessories; Antenna arrays; Direction of arrival estimation; Frequency estimation; Geometry; Interpolation; Matrix decomposition; Sensor arrays; Shape; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389884
Filename :
389884
Link To Document :
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