Asymptotic Statistical Performance of Local Polynomial Wigner Distribution for the Parameters Estimation of Cubic-Phase Signal With Application in ISAR Imaging of Ship Target

The parameters estimation of cubic-phase signal based on local polynomial Wigner distribution (LPWD) was proposed in the author´s previous paper, and it outperforms the traditional algorithms in inverse synthetic aperture radar (ISAR) imaging of maneuvering target. The contribution of this paper is that the asymptotic statistical performance of LPWD for the parameters estimation of cubic-phase signal is analyzed theoretically, and the asymptotic statistical results are derived for all the estimated parameters via the first-order perturbation principle. Then, the LPWD is used in ISAR imaging of ship target with complex motion, and the high-quality instantaneous ISAR images can be obtained.