Root MUSIC Transform Covariance Differencing for Correlated Sources under Unknown Symmetric Toeplitz Noise

Abstract

Abastract - This paper proposes a method to find the 2dimensional (2-D) direction of arrival angles (DOAs) from correlated sources under an unknown noise environment. This paper assumes a symmetric Toeplitz covariance matrix for the unknown noise. The proposed method employs the root MUSIC algorithm with the covariance matrix difference between a unitary transformed forwardbackward average covariance matrix of the received signal and the transpose of the backward covariance matrix to completely eliminate the unknown noise. The proposed method also employs a two L-shape antenna configuration for the 2-D azimuth and elevation DOA estimation. The numerical results verify that the proposed method gives a better performance with a less computation and more advantages than the Prasad’s method.