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Chin. Phys. B, 2013, Vol. 22(2): 029302    DOI: 10.1088/1674-1056/22/2/029302

Estimation of lower refractivity uncertainty from radar sea clutter using Bayesian-MCMC method

Sheng Zheng (盛峥)
College of Meteorology and Oceangraphy, PLA University of Science and Technology, Nanjing 211101, China
Abstract  Estimation of lower atmospheric refractivity from radar sea clutter (RFC) is a complicated nonlinear optimization problem. This paper deals with the RFC problem in a Bayesian framework. It uses unbiased Markov Chain Monte Carlo (MCMC) sampling technique, which can provide accurate posterior probability distributions of the estimated refractivity parameters by using an electromagnetic split-step fast Fourier transform terrain parabolic equation propagation model within a Bayesian inversion framework. In contrast to the global optimization algorithm, the Bayesian-MCMC can obtain not only the approximate solutions, but also the probability distributions of the solutions, that is, uncertainty analyses of solutions. The Bayesian-MCMC algorithm is implemented on the simulation radar sea-clutter data and the real radar sea-clutter data. Reference data are assumed to be simulation data and refractivity profiles obtained with a helicopter. Inversion algorithm is assessed (i) by comparing the estimated refractivity profiles from the assumed simulation and the helicopter sounding data; (ii) the one-dimensional (1D) and two-dimensional (2D) posterior probability distribution of solutions.
Keywords:  refractivity from clutter      terrain parabolic equation propagation model      Bayesian-Markov chain Monte Carlo      uncertainty analysis  
Received:  07 May 2012      Revised:  04 July 2012      Accepted manuscript online: 
PACS:  93.85.Ly (Exploration of oceanic structures)  
  41.20.Jb (Electromagnetic wave propagation; radiowave propagation)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 41105013); the National Natural Science Foundation of Jiangsu Province, China (Grant No. BK2011122); the Open Issue Foundation of Key Laboratory of Meteorological Disaster of Ministry of Education, China (Grant No. KLME1109); and the City Meteorological Scientific Research Fund, China (Grant No. IUMKY&UMRF201111).
Corresponding Authors:  Sheng Zheng     E-mail:

Cite this article: 

Sheng Zheng (盛峥) Estimation of lower refractivity uncertainty from radar sea clutter using Bayesian-MCMC method 2013 Chin. Phys. B 22 029302

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