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In consideration of the defects of traditional least squares and extended Kalman filtering methods that are used for parameter identification of ship response model, i.e., low precision and converge rate, multi-innovation least squares and improved multi-innovation extended Kalman filtering are proposed in this paper, respectively. Specifically, a forgetting factor is introduced to reduce the cumulative impact of past interference in multi-innovation extended Kalman filtering, and relevant bounded convergence of the improved method has been analyzed theoretically. Based on , and zig-zag tests on a real experiment platform and simulations with KVLCC2 ship model, comparisons on identification precision and convergence rate between the proposed multi-innovation identification methods and traditional methods are conducted. Meanwhile, comparisons between the multi-innovation least …