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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.
Aiming at the electromagnetic scattering echo data of large-scale layered media, a new method for inversion of characteristic parameters of layered media is presented, which realizes the simultaneous inversion of dielectric constant, conductivity and dielectric thickness of layered media. Firstly, the inversion of these parameters is transformed into the optimization problem, and then the simulated annealing algorithm is used to search the optimal solution to make full use of the global optimization ability of the algorithm. At the same time, the search control strategy of the algorithm is improved, The search step can be adaptively adjusted during the search process, which improves the searching efficiency of the algorithm.The results show that this method can accurately retrieve the parameters of large-scale layered media with strong anti-noise ability.This method can Applied to the Mars / Moon radar echo data retrieval and analysis of the characteristics of underground stratification structure.