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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Monte Carlo simulations for clutter statistics in minefields: AP-mine-like-target buried near a dielectric object beneath 2-D random rough ground surfaces
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Monte Carlo simulations for clutter statistics in minefields: AP-mine-like-target buried near a dielectric object beneath 2-D random rough ground surfaces

机译：蒙特卡洛模拟，用于雷场中的杂波统计：埋在二维随机粗糙地面下的电介质附近的类AP地雷目标

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摘要

A rigorous three-dimensional (3-D) electromagnetic model is developed to analyze the scattering from anti-personnel (AP) nonmetallic mine-like target when it is buried near a clutter object under two-dimensional (2-D) random rough surfaces. The steepest descent fast multipole method (SDFMM) is implemented to solve for the unknown electric and magnetic surface currents on the ground surface, on the target and on the clutter object. A comprehensive numerical investigation of two clutter sources; the ground roughness and the nearby benign object, is presented based on using more than 800 random rough surface realizations which could not be achieved without using fast algorithms such as the SDFMM. The statistics of the scattered near-electric fields are computed using the Monte Carlo simulations for both polarizations. For the parameters used here, the results show that the average and the standard deviation of the target signature represent 5-7% and 3-3.5% of the total scattered signal, respectively, while they represent 16-20% and 7-12% of the signal for the clutter object, respectively. This study indicates the high possibility of a false alarm during the detection process when the target is located nearby a realistic object such as a piece of a tree root.
机译：建立了严格的三维（3-D）电磁模型，以分析将其埋在二维（2-D）随机粗糙表面下的杂物附近时，杀伤人员（AP）非金属类地雷目标的散射。实现了最陡下降快速多极方法（SDFMM），以解决地表，目标和杂物上未知的电磁表面电流。对两个杂波源的全面数值研究；地面粗糙度和附近的良性物体是基于使用800多个随机粗糙表面实现而得出的，而如果不使用SDFMM这样的快速算法，则无法实现这些粗糙表面。使用两种极化的蒙特卡洛模拟计算出散射近电场的统计量。对于此处使用的参数，结果表明目标特征的平均值和标准偏差分别代表总散射信号的5-7％和3-3.5％，而它们分别代表16-20％和7-12％分别为杂波对象的信号。这项研究表明，当目标位于逼真的物体（例如一棵树的根）附近时，在检测过程中很可能会产生误报。

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