Abstract: Combining an unscented kalman filter (UKF) with artificial-intelligence search strategy and an omnidirectional local phase slope estimator，this paper presents a new phase unwrapping algorithm based on the unscented kalman filtering (UKF). This technique performs simultaneously noise filtering and phase unwrapping by the optimal data fusion approach. Phase slope will be estimated directly from the sample frequency spectrum of the complex interferogram by a local frequency estimator and the underestimation of phase slope is overcome. Simulation and real data processing results validate the effectiveness of proposed method, and show a significant improvement with respect to the extended-kalman-filter phase unwrapping (EKFPU) algorithm and some conventional phase unwrapping algorithms in some situations.