Title :
Direction-of-arrival estimation using acoustic vector sensors in the presence of noise
Author :
Levin, Dovid ; Gannot, Sharon ; Habets, Emanuël A P
Author_Institution :
Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
Abstract :
A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-of arrival (DOA) estimation. A method is proposed to estimate the DOA based on the direction of maximum power. Algorithms mentioned in earlier works are shown to be special cases of the proposed method. An iterative algorithm based on the principal of gradient ascent is presented for the solution of the maximum power problem. The proposed maximum-power method is shown to approach the Cramer-Rao lower bound (CRLB) with a suitable choice of parameter.
Keywords :
acoustic signal processing; direction-of-arrival estimation; gradient methods; sensors; Cramer-Rao lower bound; DOA estimation; acoustic vector sensor; direction-of-arrival estimation; gradient ascent; iterative algorithm; maximum power direction; maximum power problem; maximum-power method; monopole sensor; noise; orthogonally oriented dipole sensor; Acoustics; Approximation algorithms; Direction of arrival estimation; Estimation; Noise; Receivers; Sensors; Cramér-Rao lower bound; DOA estimation; acoustic vector-sensors; angular error;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946339