Direction-of-arrival estimation using acoustic vector sen- sors in the presence of noise

Dovid Levin; Sharon Gannot; Emanuël AP Habets

Direction-of-arrival estimation using acoustic vector sen- sors in the presence of noise

Dovid Levin, Sharon Gannot, Emanuël AP Habets

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	American English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
State	Published - 2011

Bibliographical note

Place of conference:Prague, Czech Republic

Cite this

@inproceedings{32545b30b1d546708dab7a7d292ee402,

title = "Direction-of-arrival estimation using acoustic vector sen- sors in the presence of noise",

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.",

author = "Dovid Levin and Sharon Gannot and Habets, {Emanu{\"e}l AP}",

note = "Place of conference:Prague, Czech Republic",

year = "2011",

language = "American English",

booktitle = "2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

}

TY - GEN

T1 - Direction-of-arrival estimation using acoustic vector sen- sors in the presence of noise

AU - Levin, Dovid

AU - Gannot, Sharon

AU - Habets, Emanuël AP

N1 - Place of conference:Prague, Czech Republic

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - https://scholar.google.co.il/scholar?q=Direction-of-arrival+estimation+using+acoustic+vector+sen-+++++sors+in+the+presence+of+noise&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

ER -

Direction-of-arrival estimation using acoustic vector sen- sors in the presence of noise

Abstract

Bibliographical note

Other files and links

Fingerprint

Cite this