Clutter Suppression Method in GPR Using the Convergence of Matrix Entropy

A novel clutter suppression method in ground penetrating radar (GPR) is proposed. The preliminary result is obtained by using target resolution improved processing (TRIP). The preliminary result will be used as an initial input for TRIP iteration. All TRIP iteration steps are the adaptive linear combination of the previous TRIP result and the preliminary result. This adaptive combination strategy can balance clutter suppression and target information protection, which is considered as a troublesome contradiction and a chronic problem in clutter suppression research. When the matrix entropy of iteration result converges, the algorithm can achieve a good result both in clutter suppression and target protection. Experimental results demonstrate that the new algorithm outperforms the existing approaches.