Algorithm for Estimating the Target Range and Velocity in Sea Clutter

Abstract

In this paper, we propose a method for suppressing sea clutter and estimating the range and velocity of a slow target with a low SCR(Signal to Clutter power Ratio) using the difference in the velocities and correlation characteristics of the target and sea clutter. Sea clutter is suppressed using the eigenvector corresponding to the smallest eigenvalue of a sample covariance matrix for temporal correlation of sea clutter in the absence of a target in the range-Doppler map. In addition, the velocities of the target and clutter are obtained using a DFT matrix as the pulse axis. To verify the performance of the algorithm, we simulate the root mean square error of the range and velocity of the target and obtain the detection probability. It was proven that the detection probability that was obtained using the proposed algorithm was much higher than that obtained using the CA-CFAR method.