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Fast Algorithm for Estimating 2-D DOA in Coherent Signals Case

In this paper, we present a new computationally simple method to estimate two-dimensional (2-D) direction-of-arrival (DOA) angles for the coherent or highly correlated narrowband signals. Unlike the traditional techniques such as spatial smoothing SS) (or forward/backward spatial smoothing (FBSS), our proposed method is to decorrelate the coherence of incident signals by averaging submatrix extracted from the cross-covariance matrix of the two subarrays unaffected by the additive noise. Then the signal subspace is obtained through a linear operation of the averaged submatrix and 2-D DOAs can be estimated by exploiting the array geometry and its shift invariance property. Consequently, the proposed method can estimate the 2-D DOAs without implementing eigendecomposition and 2-D peak search. Numerical simulations of DOA estimation demonstrate the effectiveness of the proposed method