A Sea Clutter Suppression Algorithm by Statistics Estimation and Subspace Analysis

Abstract

Abstract.To solve the problem of target detection in heavy sea clutter, we make simulation study on a subspace-based clutter suppression method to improve signal to clutter ratio in the predicted target location, and thus to improve the detection performance. With the compound Gaussian model of the sea clutter, we first estimate the statistics of sea clutter by Expectation-Maximization (EM) algorithm, then exploit a subspace-based approach to further mitigate sea clutter. With the algorithm, the computational complexity is effectively reduced. Nonetheless the algorithm exhibits good performance of clutter suppression. Numerical results show that the algorithm is effective in sea clutter suppression. Fig.1 The structure of clutter suppression system.

Sea clutter suppression method for shipborne high‐frequency surface‐wave radar

“…Some attempts were carried out for the suppression of ionospheric clutter and radio frequency interference [7–10]. For sea clutter suppression and target detection in HFSWR, some studies were conducted [11–16].…”