First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets

Inhalt:
Radar ice sounders allow to measure the topography and radar reflectivity of ice sheets’ surface and bed. Strong surface returns mask weak bed returns received simultaneously from different angular positions. We develop a nonlinear sparse reconstruction method for bed/surface returns’ separation that uses multi-channel data, and demonstrate its performance using a multi-channel dataset acquired by ESA’s Polarimetric Airborne Radar Ice Sounder during 2011 Antarctica campaign.