[Zhang, Jun] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
通讯机构：
[Guo, Zhen] N
Northwestern Polytech Univ, Sch Automat, Xian, Shaanxi, Peoples R China.
语种：
英文
关键词：
OTHR target tracking;ionospheric model;Gaussian Markov random field
期刊：
2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION)
年：
2018
页码：
2078-2082
会议名称：
21st International Conference on Information Fusion (FUSION)
会议时间：
JUL 10-13, 2018
会议地点：
Cambridge, ENGLAND
会议主办单位：
[Guo, Zhen;Wang, Zengfu;Hu, Yumei;Pan, Quan] Northwestern Polytech Univ, Sch Automat, Xian, Shaanxi, Peoples R China.^[Zhang, Jun] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
会议赞助商：
ISIF, Univ Cambridge, Dept Engn, Darktrace, Syst & Technol Res
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-0-9964-5276-2
基金类别：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61503305, 61501378, 61790552]
机构署名：
本校为其他机构
院系归属：
信息管理学院
摘要：
This paper proposes a new virtual ionospheric height model for over-the-horizon radar (OTHR) target tracking. Considering the spatial correlation of different ionosphere site, the virtual ionospheric heights are modeled by a Gaussian Markov random field (GMRF). The priors of the GMRF model can be learned from the historical measurements from ionosondes. Given the acquired measurements of the ionosphere subregions, the virtual ionospheric heights of the unmeasured subregions are inferred based on the GMRF model. Then we present the multipath probabilistic data association for uncertain coordina...
