Direction of arrival estimation based on information geometry

Mario Coutiño Minguez; Radmila Pribic; Geert Leus

doi:10.1109/icassp.2016.7472241

Direction of arrival estimation based on information geometry

Mario Coutiño Minguez, Radmila Pribic, Geert Leus

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

In this paper, a new direction of arrival (DOA) estimation approach is devised using concepts from information geometry (IG). The proposed method uses geodesic distances in the statistical manifold of probability distributions parametrized by their covariance matrix to estimate the direction of arrival of several sources. In order to obtain a practical method, the DOA estimation is treated as a single-variable optimization problem, for which the DOA solutions are found by means of a line search. The relation between the proposed method and MVDR beamformer is elucidated. An evaluation of its performance is carried out by means of Monte Carlo simulations and it is shown that the proposed method provides improved resolution capabilities at low SNR with respect to MUSIC and MVDR.

Original language	English
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Subtitle of host publication	Proceedings
Editors	Min Dong, Thomas Fang Zheng
Place of Publication	Danvers, MA
Publisher	IEEE
Pages	3066-3070
Number of pages	5
ISBN (Electronic)	978-1-4799-9988-0
DOIs	https://doi.org/10.1109/icassp.2016.7472241
Publication status	Published - 19 May 2016
Event	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai International Convention Center, Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016

Conference

Conference	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Abbreviated title	ICASSP
Country/Territory	China
City	Shanghai
Period	20/03/16 → 25/03/16

Bibliographical note

Accepted Author Manuscript

Keywords

MVDR
direction of arrival (DOA) estimation
information geometry
uniform linear array
MUSIC

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10.1109/icassp.2016.7472241

leus16icassp3Accepted author manuscript, 267 KB

Cite this

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title = "Direction of arrival estimation based on information geometry",

abstract = "In this paper, a new direction of arrival (DOA) estimation approach is devised using concepts from information geometry (IG). The proposed method uses geodesic distances in the statistical manifold of probability distributions parametrized by their covariance matrix to estimate the direction of arrival of several sources. In order to obtain a practical method, the DOA estimation is treated as a single-variable optimization problem, for which the DOA solutions are found by means of a line search. The relation between the proposed method and MVDR beamformer is elucidated. An evaluation of its performance is carried out by means of Monte Carlo simulations and it is shown that the proposed method provides improved resolution capabilities at low SNR with respect to MUSIC and MVDR.",

keywords = "MVDR, direction of arrival (DOA) estimation, information geometry, uniform linear array, MUSIC",

author = "{Couti{\~n}o Minguez}, Mario and Radmila Pribic and Geert Leus",

note = "Accepted Author Manuscript; 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, ICASSP ; Conference date: 20-03-2016 Through 25-03-2016",

year = "2016",

month = may,

day = "19",

doi = "10.1109/icassp.2016.7472241",

language = "English",

pages = "3066--3070",

editor = "Min Dong and Zheng, {Thomas Fang}",

booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

address = "United States",

}

Coutiño Minguez, M, Pribic, R & Leus, G 2016, Direction of arrival estimation based on information geometry. in M Dong & TF Zheng (eds), 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. IEEE, Danvers, MA, pp. 3066-3070, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/icassp.2016.7472241

Direction of arrival estimation based on information geometry. / Coutiño Minguez, Mario; Pribic, Radmila; Leus, Geert.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. ed. / Min Dong; Thomas Fang Zheng. Danvers, MA: IEEE, 2016. p. 3066-3070.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Direction of arrival estimation based on information geometry

AU - Coutiño Minguez, Mario

AU - Pribic, Radmila

AU - Leus, Geert

N1 - Accepted Author Manuscript

PY - 2016/5/19

Y1 - 2016/5/19

N2 - In this paper, a new direction of arrival (DOA) estimation approach is devised using concepts from information geometry (IG). The proposed method uses geodesic distances in the statistical manifold of probability distributions parametrized by their covariance matrix to estimate the direction of arrival of several sources. In order to obtain a practical method, the DOA estimation is treated as a single-variable optimization problem, for which the DOA solutions are found by means of a line search. The relation between the proposed method and MVDR beamformer is elucidated. An evaluation of its performance is carried out by means of Monte Carlo simulations and it is shown that the proposed method provides improved resolution capabilities at low SNR with respect to MUSIC and MVDR.

AB - In this paper, a new direction of arrival (DOA) estimation approach is devised using concepts from information geometry (IG). The proposed method uses geodesic distances in the statistical manifold of probability distributions parametrized by their covariance matrix to estimate the direction of arrival of several sources. In order to obtain a practical method, the DOA estimation is treated as a single-variable optimization problem, for which the DOA solutions are found by means of a line search. The relation between the proposed method and MVDR beamformer is elucidated. An evaluation of its performance is carried out by means of Monte Carlo simulations and it is shown that the proposed method provides improved resolution capabilities at low SNR with respect to MUSIC and MVDR.

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KW - information geometry

KW - uniform linear array

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DO - 10.1109/icassp.2016.7472241

M3 - Conference contribution

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BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A2 - Dong, Min

A2 - Zheng, Thomas Fang

PB - IEEE

CY - Danvers, MA

T2 - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016

Y2 - 20 March 2016 through 25 March 2016

ER -

Direction of arrival estimation based on information geometry

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Keywords

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