Underdetermined DOA Estimation for Wideband Signals via Joint Sparse Signal Reconstruction

In this letter, we consider the problem of underdetermined direction-of-arrival estimation of wideband signals using nested arrays in the framework of sparse signal recovery. The problem is recast into recovering multiple nonnegative sparse signals, which share the same sparse support but correspond to dictionaries of different frequency bins. By constructing parameterized dictionaries and exploiting the joint sparsity structure, we develop an iterative minimization method that can jointly estimate the sparse signal and refine the parameterized dictionaries. Numerical results are provided to verify the practical effectiveness of the proposed scheme.