Fast multistatic Fourier-based forward and inverse operators for Compressive Sensing imaging

This work presents a new method that uses fast multistatic Fourier-based forward and inverse operators to accelerate matrix-vector products in iterative Compressive Sensing imaging applications. The proposed method is capable of producing images one order of magnitude faster than current state of the art iterative reconstruction algorithms, without compromising the quality of the reconstructed images. Representative results using a 2D multistatic radar configuration are presented.