The multi-stage sub-image merging is a key method to accelerate to synthetic aperture radar(SAR)imag-ing in the time domain.However,the high-squint acquisition in the maneuvering platform enhances the irregularity of the support region of the spectrum,which degrades the performance of image merging in efficiency and accuracy.Because of these issues,in this paper,a modified hybrid coordinate system is designed,based on which a fast time domain imaging al-gorithm is developed for high-squint diving maneuvering platform SAR.Benefiting from the equivalent slant range model in the modified hybrid coordinate system,the sensitivity of the spectrum to the squinted angle is reduced,and the space vari-ation phenomenon of the spectrum is eliminated.Hence,the spectral preprocessing function can be easily designed to effec-tively compress and merge the spectrum,which improves the performance of the image merging in efficiency and accuracy.Both simulated and raw data are processed to validate the performance superiority of the proposed algorithm.
关键词
快速时域算法/大斜视俯冲机动平台/混合坐标系/等效斜距模型/频谱预处理
Key words
fast time domain algorithm/high-squint diving maneuvering platform/hybrid coordinate system/equiva-lent slant range model/spectral preprocessing
维普
万方数据