Sparse imaging for passive radar system based on digital video broadcasting satellites

This paper studies passive radar imaging system based on digital video broadcasting (DVB) satellites. Firstly, the 3-dimensional (3-D) imaging model which consists of multiple DVB satellites and one receiver is established. After analyzing in the wavenumber domain, we consider to exploit the sparsity of the target to realize high-resolution imaging from the undersampled wavenumber domain coverage. However, traditional compressive sensing (CS) radar imaging methods require the imaging scene to be pre-discretized into finite grids and all scatterers to be located exactly on the grid. And they are likely to be severely affected by the off-grid scatterers. Therefore, based on the theories of Xampling and the finite rate of innovation (FRI), we propose the analog sparse imaging (ASI) method to deal with arbitrarily-located scatterers, which utilizes the estimating signal parameters through rotational invariance techniques (ESPRIT) and the plane matching technique (PMT). Simulation results show the effectiveness of the proposed method and the related analysis.