大尺度分层介质电特性参数的反演方法研究

A data inversion method for electromagnetic scattering from large-scale layered medium

针对大尺度分层介质电磁场散射回波数据,提出了一种用于分层介质特性参数反演的新方法,实现了分层介质的介电常数、电导率和介质厚度的同时反演.方法首先将这些参数的反演转化为最优化问题进行求解,然后应用模拟退火算法搜索最优解,充分利用算法的全局寻优能力,同时改善了算法的搜索控制策略,使算法在最优解的搜索过程中可以自适应地调整搜索步长,提高了算法的搜索效率.结果表明,本文方法可以实现大尺度分层介质特性参数的准确反演,且具有较强的抗噪声能力.该方法可以应用于火星/月球雷达探测回波数据的反演以及地下分层结构特性的分析.

An inversion method for electromagnetic scattering echo data from large-scale layered medium is presented to simultaneously retrieve the electromagnetic property parameters of the medium. Firstly, the inversion is converted into an optimization problem. Then the simulating annealing algorithm is adopted to find the optimal solution by taking full advantage of the algorithm global optimization. Besides, the search control strategy of the algorithm is optimized so that the algorithm can adaptively adjust the search step in the optimal solution search process. The search efficiency of the algorithm is improved by these optimizations. Results show that the proposed method can achieve an accurate result in the inversion of the characteristic parameters of large-scale layered media as well as a strong anti-noise ability. The inversion method presented can be applied to the Mars/lunar radar echo data inversion and analysis of under^round layered medium.