Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter
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 env...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-11-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | http://www.atmos-meas-tech.net/5/2859/2012/amt-5-2859-2012.pdf |
| _version_ | 1828427794005098496 |
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| author | X. F. Zhao S. X. Huang D. X. Wang |
| author_facet | X. F. Zhao S. X. Huang D. X. Wang |
| author_sort | X. F. Zhao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T17:07:52Z |
| format | Article |
| id | doaj.art-d2e1845166df49058861960ebc0fb39b |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-10T17:07:52Z |
| publishDate | 2012-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-d2e1845166df49058861960ebc0fb39b2022-12-22T01:40:24ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482012-11-015112859286610.5194/amt-5-2859-2012Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutterX. F. ZhaoS. X. HuangD. X. WangThis 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.http://www.atmos-meas-tech.net/5/2859/2012/amt-5-2859-2012.pdf |
| spellingShingle | X. F. Zhao S. X. Huang D. X. Wang Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter Atmospheric Measurement Techniques |
| title | Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| title_full | Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| title_fullStr | Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| title_full_unstemmed | Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| title_short | Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| title_sort | using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| url | http://www.atmos-meas-tech.net/5/2859/2012/amt-5-2859-2012.pdf |
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