Jianlai Chen, Guang-Cai Sun, Yong Wang, Liang Guo, Mengdao Xing, Yuexin Gao
IEEE Transactions on Geoscience and Remote Sensing
Due to the very high orbit, the apparent features of geosynchronous synthetic aperture radar (GEOSAR) are the curved trajectory and long integration time, which can lead to severe coupling between the azimuth and the range directions and, therefore, complicates the resolution evaluation. The traditional analytical approach based on the 2-D division may produce large resolution error, and the numerical approach may suffer from huge computation burden. Therefore, an analytical resolution evaluation approach for GEOSAR based on the local feature of the ambiguity function is studied in this paper. The proposed approach is validated with simulation data to be of high efficiency and accuracy. In addition, the proposed approach is also demonstrated to be capable of evaluating the resolution for other complex platforms, and of evaluating the 3-D resolution of a SAR system.
An analytical resolution evaluation approach for bistatic GEOSAR based on local feature of ambiguity function
J Chen, GC Sun, Y Wang, L Guo, M Xing, Y Gao - IEEE Transactions on Geoscience and Remote …, 2017