Application of distributed compressed sensing for GMTI purposes

The first step of ground moving target indication is the differentiation between moving and nonmoving objects. Using sparsity based methods for this purpose is often constrained by the nonsparse characteristic of the nonmoving clutter. In this paper we present a new approach for moving target indication based on distributed compressed sensing, a variant of the well known compressed sensing, thus allowing nonsparse background data.