Abstract
High Frequency Surface Wave Radar (HFSWR) has been shown to provide enhanced performance in over the horizon detection of targets and sea states remote sensing by the returns of targets and ocean surface. Meanwhile, HFSWR can also receive ionospheric echoes reflected by the ionosphere, which severely affect the radar detection performance. In this paper, the radar cross section (RCS) of ionosphere for HFSWR is estimated, which would help quantify the impact of the ionosphere to radar system and the performance of clutter mitigation techniques. Simulations are provided to illustrate the effect of parameters including radar operating frequency, scale size of irregularities, aspect angle and detection range on the RCS of ionosphere.
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Acknowledgments
We would like to express his/her sincere thanks to the National Natural Science Foundation of China under Grant No. 61571159, 61571157 and members of the school of Electronics and Information Engineering, Research Center, Harbin Institute of Technology for technical support.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xuguang, Y., Changjun, Y., Aijun, L., Linwei, W. (2018). Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_27
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DOI: https://doi.org/10.1007/978-3-319-73447-7_27
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