  This paper proposes a cooperative angle-of-arrival(AoA) estimation, taking
advantage of co-processing channel state information (CSI) from a group of
access points that receive signals of the same source. Since received signals
are sparse, we use Compressive Sensing (CS) to address the AoA estimation
problem. We formulate this problem as a penalized l0-norm minimization,
reformulate it as an Ising energy problem, and solve it using Markov Chain
Monte Carlo (MCMC). Simulation results show that our proposed method
outperforms the existing methods in the literature.
