  This work deals with directional of arrival (DOA) estimation with a large
antenna array. We first develop a novel signal model with a sparse system
transfer matrix using an inverse discrete Fourier transform (DFT) operation,
which leads to the formulation of a structured block sparse signal recovery
problem with a sparse sensing matrix. This enables the development of a low
complexity message passing based Bayesian algorithm with a factor graph
representation. Simulation results demonstrate the superior performance of the
proposed method.
