Wideband DOA Estimation Based on Sparse Signal Representation

A new method based on sparse signal representation is proposed in this paper to cope with the problem of wideband direction of arrival estimation for uniform linear array. by exploiting the property of signal subspace, we construct a noiseless sparse signal representation model in eigen domain, and formulate a multiple-dictionary joint optimization problem. Due to the correlation between basis vectors, we modify the sparse recovery algorithm of orthogonal matching pursuit to solve it by orthogonalizing the selected basis vectors in dictionaries to eliminate their impact in the next iteration. the proposed method does not need the selection of regularization parameter and works no matter whether the signals are coherent or not. Simulation results demonstrate the effectiveness and efficiency of the proposed method.