Jianlai Chen, Guang-Cai Sun, Mengdao Xing, Jun Yang, Chong Ni, Yu Zhu, Weiping Shu, Wenkang Liu
IEEE Geoscience and Remote Sensing Letters
Signal bandwidth and integration time are two significant parameters of a geosynchronous synthetic aperture radar (SAR) sensor. They directly determine the resolution characteristic of SAR imagery. Because their contributions to the ground impulse response width (IRW) curve (consists of −3-dB resolutions in every direction) are severely coupled, an analytical extraction method of the ground IRW curve is studied to analyze the coupling characteristic. Due to the coupling, the IRW curve is generally spatially variant and, thus, can degrade the quality of SAR imagery. To minimize the variation, the two parameters are optimized. However, the optimized signal bandwidth is found to be satellite position varied, which complicates the system design. To solve this problem, a parameter optimization model is built to obtain one optimal signal bandwidth as well as to decrease the variation.
A parameter optimization model for geosynchronous SAR sensor in aspects of signal bandwidth and integration time
J Chen, GC Sun, M Xing, J Yang, C Ni, Y Zhu, W Shu… - IEEE Geoscience and Remote Sensing Letters, 2016