A fast algorithm for DOA estimation in unknown correlated noise
Yongbo Zhao, Shouhong Zhang · 2004
An efficient method is proposed for DOA estimation in the presence of unknown correlated noise fields. The proposed method first eliminates the noise covariance matrix and gets a new array covariance matrix by employing the covariance differencing technique. The signal subspace can be obtained directly from the elements of the new array covariance matrix. The performance of this method is examined via simulations.