In this article, an improved fast Fourier transform (FFT)–based millimeter-wave imaging algorithm with range compensation is presented, which can be used to reconstruct 3D images for near-field multiple-input multiple-output synthetic aperture radar (MIMO-SAR). The frequency-domain interpolation is avoided and only one-step spherical-wave decomposition is employed in this algorithm. During the image reconstruction process, the amplitude factor is considered for the compensation of signal propagation loss, and the final target image can be obtained by FFT/IFFT and coherent accumulation steps. As demonstrated with numerical theoretical analysis and experimental results, the proposed method greatly reduces the computational load but ensures the quality of image reconstruction compared to the back-projection (BP) algorithm. Moreover, it is superior to the MIMO-range migration algorithm (MIMO-RMA) in compensating propagation loss and other performance indexes in the image reconstruction results.

在本文中，提出了一种改进的基于快速傅立叶变换（FFT）的具有距离补偿的毫米波成像算法，该算法可用于重建近场多输入多输出合成孔径雷达（MIMO-SAR）的3D图像）。该算法避免了频域内插，并且仅采用了一步式球面波分解。在图像重建过程中，考虑使用振幅因子来补偿信号传播损失，并且可以通过FFT / IFFT和相干累加步骤获得最终目标图像。如数值理论分析和实验结果所示，与反投影（BP）算法相比，该方法大大减少了计算量，但确保了图像重建的质量。而且，