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学科主题: Meteorology & Atmospheric Sciences
题名: Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter
作者: Zhao, XF ; Huang, SX ; Wang, DX
通讯作者: zxf_best@126.com
刊名: ATMOSPHERIC MEASUREMENT TECHNIQUES
发表日期: 2012
卷: 5, 期:11, 页:2859-2866
部门归属: [Zhao, X. F.; Huang, S. X.] PLA Univ Sci & Technol, Coll Meteorol & Oceanog, Nanjing, Jiangsu, Peoples R China; [Zhao, X. F.; Wang, D. X.] Chinese Acad Sci, S China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
项目归属: LTO
摘要: This paper addresses the problem of estimating range-varying parameters of the height-dependent refractivity over the sea surface from radar sea clutter. In the forward simulation, the split-step Fourier parabolic equation (PE) is used to compute the radar clutter power in the complex refractive environments. Making use of the inherent Markovian structure of the split-step Fourier PE solution, the refractivity from clutter (RFC) problem is formulated within a nonlinear recursive Bayesian state estimation framework. Particle filter (PF), which is a technique for implementing a recursive Bayesian filter by Monte Carlo simulations, is used to track range-varying characteristics of the refractivity profiles. Basic ideas of employing PF to solve RFC problem are introduced. Both simulation and real data results are presented to confirm the feasibility of PF-RFC performances.
语种: 英语
WOS记录号: WOS:000311804400022
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10227
Appears in Collections:热带海洋环境国家重点实验室(LTO)_期刊论文

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Recommended Citation:
Zhao, XF; Huang, SX; Wang, DX.Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter,ATMOSPHERIC MEASUREMENT TECHNIQUES,2012,5(11):2859-2866
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