基于高效相位阶跃频率雷达的地雷状目标识别

Helge B. D. Sørensen, K. Jakobsen, Ole Nymann
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引用次数: 6

摘要

本文提出了一种有效的计算方法来识别埋在地下的M56杀伤人员(AP)地雷等非常小的地雷形塑料物体。这些物体的大小相当于目前使用的最小的杀伤地雷,即在人道主义排雷方面最难探测的地雷。我们的方法包括三个阶段,相位步进频率雷达法,四分之一图像的生成和模板互相关。相位步进频率雷达方法属于步进频率雷达方法的范畴。在地面上的二维网格中,雷达探头自动移动,在每个网格点测量一组反射系数,从中提取相位和振幅信息。基于相位信息、四元图像和模板相互关的简单处理,可以成功地检测金属和非金属矿形物体。对含有不同矿形物体的壤土进行了测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of mine-shaped objects based on an efficient phase stepped-frequency radar approach
A computational efficient approach to identify very small mine-shaped plastic objects, e.g. M56 Anti-Personnel (AP) mines buried in the ground, is presented. The size of the objects equals the smallest AP-mines in use today, i.e., the most difficult mines to detect with respect to humanitarian mine clearance. Our approach consists of three stages, the phase stepped-frequency radar method, generation of a quarternary image and template crosscorrelation. The phase stepped-frequency radar method belongs to the class of stepped-frequency radar methods. In a two-dimensional mesh-grid above the ground a radar probe is moved automatically to measure in each grid point a set of reflection coefficients from which phase and amplitude information are extracted. Based on a simple processing of the phase information, quarternary image and template cross-correlation a successful detection of metal- and non-metal mine-shaped objects is possible. Measurements have been performed on loamy soil containing different mine-shaped objects.
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