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