Title :
A robustness property of DOA estimators based on covariance
Author :
Cardoso, Jean-François ; Moulines, Éric
Author_Institution :
Telecom Paris, France
fDate :
11/1/1994 12:00:00 AM
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
Keywords :
Gaussian processes; covariance analysis; direction-of-arrival estimation; parameter estimation; DOA estimators; Gaussian model; asymptotic covariance; asymptotic performance; covariance; direction-of-arrival estimators; high-resolution estimators; robustness property; sensor array data; source signals; statistical models; Array signal processing; Covariance matrix; Direction of arrival estimation; Gaussian noise; Genetic expression; Narrowband; Performance analysis; Robustness; Sensor arrays; Signal analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
