Statistical Estimation of Uncertainty in Surface Duct Parameters Inversion

摘要：

　　The tropospheric duct parameter inversion problem using the global optimization algorithm to find the optimal value of the objective function is a typical point estimation problem.In some cases,we need not only the best estimate of the refractive profile,but also the probability problem of the most advantageous,that is,the uncertainty of the inversion.Therefore,this paper uses Bayesian theory to calculate the uncertainty of the statistics of duct profile parameters.However,since the parameter vector dimension is high,the posterior probability density of each parameter cannot be directly calculated.Therefore,an efficient sampling algorithm is needed to sample the parameter vector.We used the Metropolis-Hasting sample in the MCMC sampling algorithm to sample the profile parameters and obtained a good statistical result.

关键词： Bayesian MCMC Surface Duct

作者: Zhao Haifeng Wu Zhensen

作者单位: School of physics and Optoelectronic Engineering;Radar Collaborative Innovation Center Xian China XiDian University

会议类型: 国际会议

会议名称: The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE 2018)?(第十二届天线、传播与电磁理论国际学术会议)

会议地点: 杭州

会议语种:英文

页码: 1-4

在线出版日期: 2018-12-03（万方平台首次上网日期，不代表论文的发表时间）