Abstract
The geosynchronous orbit SAR system (GEOSAR) can monitor a certain area for a long time. It has the advantages of short revisit cycle and strong anti-attack ability. It has wide application prospect and development potential in military and civil fields. But at the same time, the time variability of the atmosphere in the long synthetic aperture affects the focusing performance of the L-band GEOSAR, and its antenna size, power consumption, and the cost of launching are also greatly limited to the engineering implementation of the radar. In order to solve the above problem, this paper derives the imaging algorithm of the double-base stationary motion model based on the concept of the binary radar system (GEO-UAV SAR) of the star machine hybrid system (GEO-UAV SAR) received by GEOSAR and carries out the simulation test. The basic theoretical model is put forward for the research of the imaging algorithm in the nonstationary state, and the development of the test star is made. And construction provides a basic theoretical research result.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tomiyasu K, Pacelli J L. Synthetic Aperture Radar Imaging from an Inclined Geosynchronous Orbit [J]. IEEE Transactions on Geoscience and Remote Sensing, 1983, 21(3): 324–329.
Bruno D, Hobbs S E, Ottavianelli G. Geosynchronous Synthetic Aperture Radar: Concept Design, Properties and Possible Applications [J]. Acta Astronautica, 2006, 59:149–156.
Rodon J R, Broquetas A, Guarnieri A M, et al. Geosynchronous SAR Focusing with Atmospheric Phase Screen Retrieval and Compensation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(8): 4397–4404.
Kou L, Wang X, Xiang M, Zhu M. Interferometric Estimation of Three-dimensional Surface Deformation Using Geosynchronous Circular SAR [J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(2):1619–1635.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tang, D., Zhou, X., Li, C., Song, Y. (2019). Research on Imaging Algorithms for Bistatic System of Geosynchronous SAR Based on Stationary Motion Mode. In: Wang, L., Wu, Y., Gong, J. (eds) Proceedings of the 5th China High Resolution Earth Observation Conference (CHREOC 2018). CHREOC 2018. Lecture Notes in Electrical Engineering, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-13-6553-9_11
Download citation
DOI: https://doi.org/10.1007/978-981-13-6553-9_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6552-2
Online ISBN: 978-981-13-6553-9
eBook Packages: EngineeringEngineering (R0)