Abstract:

In view of the nonequivalent relationship between the space sampling and time sampling in multiple-input multiple-output inverse synthetic aperture radar (MIMO-ISAR), an space-time quivalent errors model is established and analyzed firstly. Subsequently, a formula which can correct the equivalent errors model between space and time is inferred. The error correction matrix is acquired, which only concerns with the space-time equivalent miss matched rate. Space-time equivalent miss matched rate is estimated by the minimum cross-range image entropy method. Then the errors correction matrix is structured and space-time equivalent errors are corrected. The simulation results verify the validity of the proposed algorithm.