High-resolution imaging for synthetic aperture radar

We introduce a modification of the multiple signal classification method for synthetic aperture radar. This method uses both the signal and the noise sub-spaces of the data. It yields high-resolution and quantitative images and is shown to be robust with respect to random perturbations to the travel times.