Airborne early warning radar uses pulse Doppler (PD) system, which has good low-altitude detection performance, but its Doppler blind zone (DBZ) problem cannot be ignored. In the process of target tracking, the blind zone is easy to cause target track loss. An interacting multi-model blind-zone particle filtering (IMM-BZPF) algorithm is proposed for continuous target tracking in the condition of DBZ. In this algorithm, the prior information of the DBZ is incorporated into the IMM-BZPF, and the blind-zone particle filtering is performed on each motion model in the model set. The simulation results show that the proposed algorithm has high state estimation accuracy for maneuvering targets in the blind zone, solving the continuous tracking problem of maneuvering targets in the DBZ.