Electromagnetic source localization in shallow waters using Bayesian matched-field inversion
Electromagnetic source localization in shallow waters using Bayesian matched-field inversion
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DOI：
10.1088/0266-5611/22/1/003
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发表时间：
2006-02-01
期刊：
影响因子：
2.1
通讯作者：
Birsan, M
中科院分区：
文献类型：
--
作者：
Birsan, M
电磁信号在海洋环境中的传播由于在海水中的高衰减以及与海洋边界的相互作用而不能被建模为平面波。因此，传统的波束形成技术不适用于电磁源定位。在这项工作中，匹配场处理的贝叶斯方法用于定位电磁源和估计环境参数。在这个公式中，反问题的解由使用吉布斯抽样方法计算的后验概率分布给出。贝叶斯反演理论提供了估计参数、参数不确定性和验证参数估计收敛性的形式化方法。对于单频测量代表两个正交水平电场分量的幅度的情况，研究了两种情况：（1）所有环境参数已知和（2）未知海底电导率。根据实际情况，选择了将阵列数据与传播模型和环境参数相关联的目标函数。
The propagation of an electromagnetic signal in a marine environment cannot be modelled as a plane wave due to the high attenuation in seawater and the interactions with the ocean boundaries. Consequently, conventional beamforming techniques are not applicable for electromagnetic source localization. In this work, the Bayesian approach to matched-field processing is used to localize an electromagnetic source and estimate the environmental parameters. In this formulation, the solution to the inverse problem is given by the a posteriori probability distribution calculated here using the Gibbs sampling method. Bayesian inversion theory provides the formalism for estimating parameters, their uncertainties and verification of the estimates convergence. Two situations were investigated for the case where the single frequency measurements represent the magnitudes of two orthogonal horizontal electric field components: (1) all environmental parameters known and (2) unknown seabed conductivity. The objective function that relates the array data to the propagation model and environment parameters was chosen for the practical situation considered.