Combination of weighted ℓ2, 1 minimization with unitary transformation for DOA estimation

Using the centro-symmetry property of uniform linear array (ULA), we propose an algorithm that combines the weighted l2;1 minimization with the unitary transformation to improve the performance of DOA estimation. Exploiting the result of the unitary transformation, more credible weights can be obtained and the jointly sparse constraint can be further enhanced. Moreover, the unitary transformation incorporates the forward– backward spatial smoothing, which improves the performance of the weighted l2;1 minimization for correlated sources. Simulations demonstrate that the proposed method can achieve better performance in terms of resolution and estimation accuracy. & 2013 Elsevier B.V. All rights reserved.