A Robustness Property of DOA Estimators Based on Covariance

Jean Francois Cardoso; Eric Moulines

doi:10.1109/78.330400

A Robustness Property of DOA Estimators Based on Covariance

Jean Francois Cardoso
, Eric Moulines

Telecom Paris

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

11 Citations (Scopus)

Résumé

A simple general formula is derived under a Gaussian model for the asymptotic covariance of direction-of-arrival (DOA) estimators based on the covariance of the sensor array data. It is then established that the same formula remains valid for a wide class of statistical models for source signals. Hence, under mild assumptions, the asymptotic performance of most high-resolution covariance-based DOA estimators is independent of the distribution of the source signals.

langue originale	Anglais
Pages (de - à)	3285-3287
Nombre de pages	3
journal	IEEE Transactions on Signal Processing
Volume	42
Numéro de publication	11
Les DOIs	https://doi.org/10.1109/78.330400
état	Publié - 1 janv. 1994

Accès au document

10.1109/78.330400

Contient cette citation

@article{8897a549b1e14a65bf3d12eece68ca79,

title = "A Robustness Property of DOA Estimators Based on Covariance",

abstract = "A simple general formula is derived under a Gaussian model for the asymptotic covariance of direction-of-arrival (DOA) estimators based on the covariance of the sensor array data. It is then established that the same formula remains valid for a wide class of statistical models for source signals. Hence, under mild assumptions, the asymptotic performance of most high-resolution covariance-based DOA estimators is independent of the distribution of the source signals.",

author = "Cardoso, \{Jean Francois\} and Eric Moulines",

year = "1994",

month = jan,

day = "1",

doi = "10.1109/78.330400",

language = "English",

volume = "42",

pages = "3285--3287",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "11",

}

TY - JOUR

T1 - A Robustness Property of DOA Estimators Based on Covariance

AU - Cardoso, Jean Francois

AU - Moulines, Eric

PY - 1994/1/1

Y1 - 1994/1/1

N2 - A simple general formula is derived under a Gaussian model for the asymptotic covariance of direction-of-arrival (DOA) estimators based on the covariance of the sensor array data. It is then established that the same formula remains valid for a wide class of statistical models for source signals. Hence, under mild assumptions, the asymptotic performance of most high-resolution covariance-based DOA estimators is independent of the distribution of the source signals.

AB - A simple general formula is derived under a Gaussian model for the asymptotic covariance of direction-of-arrival (DOA) estimators based on the covariance of the sensor array data. It is then established that the same formula remains valid for a wide class of statistical models for source signals. Hence, under mild assumptions, the asymptotic performance of most high-resolution covariance-based DOA estimators is independent of the distribution of the source signals.

U2 - 10.1109/78.330400

DO - 10.1109/78.330400

M3 - Article

AN - SCOPUS:0028546243

SN - 1053-587X

VL - 42

SP - 3285

EP - 3287

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 11

ER -

A Robustness Property of DOA Estimators Based on Covariance

Résumé

Accès au document

Empreinte digitale

Contient cette citation