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Signal Processing of GPR Data for Landmine Detection

机译:用于探雷的GPR数据的信号处理

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摘要

As research conducted by US State Department, Landmines maim or kill an estimated five hundred people per week worldwide. Direct casualties are not the only problem. The areas of arable land cannot be farmed due to the threat of landmines. According to the United Nations, in 64 countries around the world, there are an estimated 110 million land mines still actively lodged in the ground. Landmines can be metallic or non-metallic types. The metal detectors can easily detect metallic types, which are buried close to the ground surface, however the ones, which are buried deep in the soil, cannot be detected by the metal detectors. The landmines which are non- metallic types (Plastics, Low metal containing landmines) also has a high probability that metal detector could not discriminate. For metallic types and non- metallic types, the probability of false alarm is very high. In this paper, we propose High Resolution Signal Processing Method using SAR algorithm which is based on migration techniques for the detection and discrimination of antipersonnel landmines using Impulse GPR. The Signal Processing Algorithm makes use of the High resolution GPR data from Landmine Detecting Array Radar (LAMDAR-III) to give the better imaging of the buried object.
机译:根据美国国务院的研究,地雷每周可能在世界范围内造成500人丧生。直接伤亡不是唯一的问题。由于地雷的威胁,耕地面积不能耕种。根据联合国的资料,在全球64个国家中,估计仍有1.1亿枚地雷仍活跃地埋在地下。地雷可以是金属类型或非金属类型。金属探测器可以轻松地探测埋在地表附近的金属类型,但是埋在土壤深处的金属类型无法被金属探测器探测到。非金属类型的地雷(塑料,含低金属的地雷)也极有可能无法识别金属探测器。对于金属类型和非金属类型,错误警报的可能性非常高。在本文中,我们提出了一种基于SAR算法的高分辨率信号处理方法,该方法基于迁移技术,利用脉冲GPR检测和识别杀伤人员地雷。信号处理算法利用地雷探测阵列雷达(LAMDAR-III)的高分辨率GPR数据对掩埋物体进行更好的成像。

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