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

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

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.

Original language	English
Pages (from-to)	3285-3287
Number of pages	3
Journal	IEEE Transactions on Signal Processing
Volume	42
Issue number	11
DOIs	https://doi.org/10.1109/78.330400
Publication status	Published - 1 Jan 1994

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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.",

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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.

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JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

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ER -

A Robustness Property of DOA Estimators Based on Covariance

Abstract

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