The imaging methods based on Compressive Sensing (CS) for Multiple-Input Multiple-Output (MIMO) radar have the advantage of high resolution.However,in practical applications,these methods suffer from high computational complexity,which cannot meet the timeliness requirements of moving-target imaging.To solve this problem,a novel 3D high-resolution imaging method for MIMO radar based on Non-Uniform Fast Fourier Transform (NUFFT) and Fast Iterative Soft Thresholding Algorithm (FISTA) is proposed.This method uses NUFFT to approximate the matrix-vector multiplications in FISTA with high precision,which can reduce imaging time and requirements on the systems memory while ensuring high-resolution imaging.Simulation results have verified the feasibility of the proposed method and its advantages over the existing classical methods.