Abstract: Abstract:　 In this paper, an millimeter-wave fast imaging algorithm with attenuation compensation for nonuniform multiple-input multiple-output synthetic aperture radar (MIMO-SAR) is presented. During the process of image reconstruction, the amplitude factor in the echo model is retained for the compensation of signal propagation attenuation, and the convolution operation is performed on the receiving array dimension according to the characteristics of the target echo equation. Next, the Fresnel approximation is applied to the amplitude and phase terms which contain the position information of the nonuniform array, and then the target image reconstruction can be decomposed into two sub-images. Finally, the target image can be solved by fast Fourier transform (FFT) and coherent accumulation steps. Simulation analysis and experimental results show that the proposed algorithm can effectively reduce the loss of image quality caused by signal propagation attenuation on the premise of fast imaging.