Abstract:

The strong target contamination has a great influence on the performance of the conventional clutter suppression method. To deal with the problem, a robust eigen-projection approach is proposed for multichannel synthetic aperture radar systems. Firstly, a modulus normalized vector corresponding to the pixel data vector is constructed and its covariance matrix is formed. Secondly, the eigen-decomposition is produced, and a new noise subspace is constructed. Finally, the ground clutter is suppressed by the projection of the pixel data vector under test onto the new noise subspace. The effectiveness and robustness of the proposed approach are confirmed by performance analysis and real data processing.