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提出运用时域有限差分(FDTD)方法结合遗传算法进行机载或车载地表穿透合成孔径雷达(GPSAR)浅地表金属地雷识别的方法。该方法利用地雷的一维散射中心个数及其相对位置的匹配函数获取地雷结构信息,从而将真实目标分辨出来。利用FDTD法建立了浅地表地雷的散射模型,为了验证该模型,模拟了高斯起伏地面下M6A1金属地雷的散射特性,仿真数据和测试数据基本吻合。对高斯起伏地面下两类金属地雷目标的分类识别,表明该方法具有良好的目标识别能力。
The method of time-domain finite difference (FDTD) combined with genetic algorithm (GA) is proposed for on-board or vehicular surface penetrating Synthetic Aperture Radar (GPSAR) shallow surface metal mine recognition. The method uses the matching function of the number of one-dimensional scattering centers of mines and their relative positions to obtain the information of the mines structure so as to distinguish the real targets. In order to validate the model, the scattering characteristics of M6A1 metal mines under Gaussian ground surface are simulated by using FDTD method. The simulation data and the test data are in good agreement. The classification and identification of two types of metal mine targets under Gaussian ground surface show that this method has good target recognition ability.