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| Titel |
Using particle filter to track horizontal variations of atmospheric duct structure from radar sea clutter |
| VerfasserIn |
X. F. Zhao, S. X. Huang, D. X. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 11 ; Nr. 5, no. 11 (2012-11-26), S.2859-2866 |
| Datensatznummer |
250003179
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| Publikation (Nr.) |
 copernicus.org/amt-5-2859-2012.pdf |
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| Zusammenfassung |
| 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. |
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