Research Article
Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar
@INPROCEEDINGS{10.1007/978-3-319-73447-7_27, author={Yang Xuguang and Yu Changjun and Liu Aijun and Wang Linwei}, title={Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={High Frequency Surface Wave Radar Ionosphere RCS}, doi={10.1007/978-3-319-73447-7_27} }- Yang Xuguang
Yu Changjun
Liu Aijun
Wang Linwei
Year: 2018
Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_27
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.
