Root MUSIC transform covariance differencing for correlated sources under unknown symmetric Toeplitz noise

This paper proposes a method to rind the 2-dimensional (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 forward-backward 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.