Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter
Zhao, XF ; Huang, SX ; Wang, DX
刊名ATMOSPHERIC MEASUREMENT TECHNIQUES
2012
卷号5期号:11页码:2859-2866
ISSN号1867-1381
通讯作者zxf_best@126.com
中文摘要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.
学科主题Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000311804400022
公开日期2013-08-28
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/10227]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
Zhao, XF,Huang, SX,Wang, DX. Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter[J]. ATMOSPHERIC MEASUREMENT TECHNIQUES,2012,5(11):2859-2866.
APA Zhao, XF,Huang, SX,&Wang, DX.(2012).Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter.ATMOSPHERIC MEASUREMENT TECHNIQUES,5(11),2859-2866.
MLA Zhao, XF,et al."Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter".ATMOSPHERIC MEASUREMENT TECHNIQUES 5.11(2012):2859-2866.
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