A computer-time effective scheme to reconstruct the radar image from a noisy GNSS-R DDM

Global Navigation Satellite Systems - Reflectometry (GNSS-R) is an innovative and promising tool for remote sensing purposes. Several applications have been developed to extract geophysical information of the reflected scene from the measured delay waveforms and Delay-Doppler Maps (DDMs). Recently, techniques have been presented to deconvolve the DDMs to reconstruct the Normalize Radar Cross Section (NRCS) field of the observed area in order to provide added value products for imaging remote sensing. In this paper an effective reconstruction scheme, based on the Conjugate Gradient approach operating in Banach space, is proposed and successfully tested on simulated marine scenario.