A {Bound} for {Super}-{Resolution} {Power} of {Compressive} {Sensing} {Imaging} {Systems}
Abstract:
Compressive Sensing (CS) has proven a robust and high resolution
method for Synthetic Aperture Radar Tomography (TomoSAR) from space. For the typical satellite orbit configurations, resolution is a crucial aspect. This paper quantifies the super-resolution power of CS, i.e. the minimum separable distance between two point scatterers, as a function of SNR, number of measurements N, and amplitude ratio of the scatterers for the typical low SNR and
low N cases of TomoSAR.