Estimation of Moving Target Parameters using Compressive Sensing Methods

The parameter estimation of a distributed target with several moving elements is an important question in radar based security applications. In this paper, a solution of this problem is proposed by using an incoherent radar sensor network as well as signal processing methods known from the area of Compressive Sensing. Thereby, three different algorithms are evaluated: Orthogonal Matching Pursuit (OMP), SIMPLEX and nonlinear Convex Optimization. It can be shown that a relative small number of radar channels is sufficient to determine positions and velocity vectors of many point scatterers included in the analyzed scene.