A FFT-Based Millimeter-Wave Imaging Algorithm with Range Compensation for Near-Field MIMO-SAR

• Published in: Journal of infrared, millimeter and terahertz waves Vol. 42; no. 4; pp. 391 - 408
• Main Authors: Chen, Xu, Yang, Qi, Deng, Bin, Zeng, Yang, Wang, Hongqiang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2021; Springer Nature B.V
• Subjects: Algorithms; Classical Electrodynamics; Compensation; Electrical Engineering; Electronics and Microelectronics; Engineering; Fast Fourier transformations; Fourier transforms; Image quality; Image reconstruction; Instrumentation; Interpolation; Military communications; Millimeter waves; Near fields; Performance indices; Propagation; Signal processing; Spherical waves; Synthetic aperture radar; Target recognition; Range compensation; Multiple-input multiple-output synthetic aperture radar; Millimeter-wave imaging; Fast Fourier transform
• ISSN: 1866-6892; 1866-6906
• DOI: 10.1007/s10762-021-00786-7

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.