Abstract: Sea clutter suppression technique based on marine navigation radar is the key and challenge for improvement of targets detection above the sea surface. It is of great value for military and civilian applications. Based on the theory of mathematical statistics, a sea clutter adaptive suppression algorithm via multi-model selection is proposed in this paper. Multiple scans of echo signals are utilized for establishment of the sea clutter model library. With statistics and estimation of corresponding parameters, the optimal matched model for echo data is applied to sea clutter suppression via cancellation. Results of simulations and experiments have demonstrated the validity and feasibility of the proposed algorithm.