3 accepted papers
This paper is concerned with the development of a computationally efficient optimization algorithm for off-grid direction finding using a sparse observation model. The optimization problem can be formulated as one smooth plus two nonsmooth functions. We propose two accelerated smoothing proximal gra…
Estimation of directions-of-arrival (DoA) in the spatial co-variance model is studied. Unlike the compressed sensing methods which discretize the search domain into possible directions on a grid, the theory of super resolution is applied to estimate DoAs in the continuous domain. We reformulate the…
The problem of recovering directions-of-arrival in the sparse signal model with multiple snapshots is considered. Based on the theory of super resolution, multiple snapshots are used to jointly estimate directions-of-arrival in the continuous domain. Instead of uniformly discretizing the search rang…