Sparse modeling for polarimetric radar

M. HURTADO; N. VON ELLENRIEDER; C. MURAVCHIK; A. NEHORAI

Workshop; IEEE Workshop on Statistical Signal Processing; 2011

IEEE Signal Processing Society

In this paper, we develop a sparse model to represent thedata recorded by a polarimetric, coherent radar. We producethis model defining an over-complete library of possible targetresponses in the range-polarization space. Then, we employcompressive sensing methods to infer the position andthe scattering matrix of the target. Using real radar data, weshow that this new approach offers better interference rejectionover other methods.