Modeling and Processing of Two-Dimensional Spatial-Variant Geosynchronous SAR Data

作者：Li, Dexin^*; Wu, Manqing; Sun, Zaoyu; He, Feng; Dong, Zhen

来源：IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(8): 3999-4009.

DOI：10.1109/JSTARS.2015.2418814

• Chirp scaling (CS)
• geosynchronous synthetic aperture radar (GEO SAR)
• SAR imaging
• series reversion
• spatial variances

Imaging of spatial-variant geosynchronous synthetic aperture radar (GEO SAR) in the L band with long integration time is discussed. To compensate for spatial variances in both range and azimuth directions, a new algorithm based on improved omega-K (omega K) and three-time azimuth chirp scaling (3ACS) is proposed. First, the integration time and the slant range model were analyzed. Second, the two-dimensional (2-D) spectrum was used for range cellmigration correction (RCMC), secondary range compression (SRC), and azimuth compression, and the influences of spatial variances on each term were considered. Third, the improved omega K was used to compensate for the range variance, and 3ACS was used to compensate for the azimuth variance. The scope of 2-D focusing in high-resolution GEO SAR imaging was clearly enlarged. Finally, the performance of the algorithm was demonstrated using simulations based on a spaceborne radar advance simulator (SBRAS).

• 出版日期2015-8
• 单位中国人民解放军国防科学技术大学