@inproceedings{6268ba581a734c318f26d31bc58eb36c,
title = "SA-based orbital design method for GEO-BiSAR resolution improvement",
abstract = "Compared with the monostatic geosynchronous synthetic aperture radar (GEO-SAR) system, GEO bistatic SAR (GEO-BiSAR) shows great advantages in finer spatial resolution and higher signal-to-noise ratio (SNR) with less system complexity. Many scholars have done researches on resolution of GEO-BiSAR, their models consist of a GEO transmitter and a low Earth orbit (LEO) receiver. The methods of improving the resolution by using two or more receivers are rare. In this paper, the system consists of a geosynchronous illuminator and two LEO receivers. The spectrum shift of SAR images could be introduced by multi-view angles of acquired images in the same coverage. We can widen the bandwidth of SAR images by combining the spectrum of two images to improve the resolution. The formation configuration design of two receivers is the crux of the matter. Then in this paper, an orbital design method of two receivers based on simulated-annealing (SA) algorithm is presented.",
keywords = "GEO-LEO bistatic synthetic aperture radar (BiSAR), SA algorithm, baseline vector, orbital design, resolution improvement factor, spectral shift",
author = "Yao Cheng and Shunsheng Zhang and Bingji Zhao and Cheng Hu",
note = "Publisher Copyright: {\textcopyright} 2017 URSI.; 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 ; Conference date: 19-08-2017 Through 26-08-2017",
year = "2017",
month = nov,
day = "10",
doi = "10.23919/URSIGASS.2017.8105222",
language = "English",
series = "2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
booktitle = "2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017",
address = "United States",
}