Abstract
Recently, flight target altitude estimation using high frequency surface wave radar (HFSWR) gains popularity. In practical flight target early warning applications, the most concerned characteristics of the targets are generally the high/low altitude attribute and the line-of-sight/over-the-horizon. For HFSWR, the target altitude attribute identification is somewhat more meaningful and available than the accurate altitude estimation. In this paper, a novel method, which is based on the propagation attenuation of the vertically polarized wave at different altitude intervals, is proposed to identify target altitude attribute in HFSWR. The method continuously identify the target altitude attributes and evaluate the credibility of altitude attributes identification. Practical trials demonstrate that the flight target altitude attribute is quickly identified using a small amount of data, and meanwhile the credibility is superior to 0.9.
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Acknowledgments
The authors would like to thank the support of National Natural Science Foundation projects 61171188 and 61571159 for the project.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Shao, S., Yu, C., Zhao, K. (2018). A Novel Method of Flight Target Altitude Attributes Identification for HFSWR. 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_39
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DOI: https://doi.org/10.1007/978-3-319-73447-7_39
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