Localization method based on the higher-order statistics
Salah Bourennane · The Journal of the Acoustical Society of America · 2000
In the context of the narrow-band or wideband array processing problem, in this paper we develop a robust algorithm to improve the accuracy of the estimation of the direction of arrival of the sources. It is well known that when the noise covariance matrix is unknown, these estimates may be grossly inaccurate. Using both the higher-order statistics for suppression of the additive Gaussian noise, the transformation matrices for estimating the coherent signal subspace, and the high-resolution algorithm a robust and fast algorithm for the source parameters estimation in the presence of noise with an unknown cross-spectral matrix is developed. We shall show that the performance of bearing estimation algorithms improves substantially when our algorithm is used. Several simulation results are presented with different noise spectral matrices.