Cramer--Rao bound of spatio-temporal linear pre-processing in parameter estimation from sensor array
Signal Processing - Special issue on independent components analysis and beyond
EURASIP Journal on Advances in Signal Processing
Multidimensional Systems and Signal Processing
Localization of narrow-band sources in unknown spatially correlated noise
EURASIP Journal on Advances in Signal Processing
Hi-index | 35.68 |
We consider the problem of direction finding in the presence of colored noise whose covariance matrix is unknown. We show that the ambient noise covariance matrix can be modeled by a sum of Hermitian matrices known up to a multiplicative scalar. Using this model, we estimate jointly the directions of arrival of the signals and the noise model parameters. We show that under certain conditions, it is possible to obtain unbiased and efficient estimates of the signal direction. The Cramer-Rao bound is used as the principal analysis tool. Computer simulations using the maximum likelihood estimator provide a validation of the analytical results