TY - GEN
T1 - A Novel Method of Flight Target Altitude Attributes Identification for HFSWR
AU - Shao, Shuai
AU - Yu, Changjun
AU - Zhao, Kongrui
N1 - Publisher Copyright:
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Altitude attribute identification
KW - High frequency surface wave radar
KW - Propagation attenuation
UR - https://www.scopus.com/pages/publications/85045237670
U2 - 10.1007/978-3-319-73447-7_39
DO - 10.1007/978-3-319-73447-7_39
M3 - 会议稿件
AN - SCOPUS:85045237670
SN - 9783319734460
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 351
EP - 360
BT - Machine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings
A2 - Li, Bo
A2 - Gu, Xuemai
A2 - Liu, Gongliang
PB - Springer Verlag
T2 - 2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017
Y2 - 5 August 2017 through 6 August 2017
ER -