Fast Velocity Estimation Based on Minimum Entropy and Newton Iteration in MIMO-ISAR Imaging

摘要

In the process of ISAR imaging, since the velocity of the non-cooperative target is unknown, imaging may be blur and even unable to focus. Therefore, MIMO-ISAR radar is introduced, and the target velocity estimation is the key and difficulty in the process. Based on the velocity estimation method of minimum entropy that has been proposed, this paper proposes a fast velocity estimation methods based on minimum entropy and Newton iteration to shorten the time and improve the efficiency of velocity estimation. Analysis and simulation results verify the feasibility of the proposed algorithm, which is of vital importance for improving the quality of MIMO-ISAR imaging and motion compensation.