基于稀疏采样的电力接地网雷达检测系统成像算法
摘要：接地网隐蔽的敷设位置造成检测的局限性,而利用雷达系统能够实现无开挖情况下的便捷检测。论文针对接地网雷达智能检测系统的成像处理问题展开研究,结合接地网检测场景的目标分布特点,以稀疏采样理论为基础,利用接地导体强反射性所呈现的信号稀疏性实现了有效的数据低维投影测量,提高了系统检测与数据处理的效率。在低维数据基础上,利用信号重建获取目标的二维轮廓,得到二维成像输出。通过仿真实验验证了成像算法的有效性,在获得高分辨率输出的同时,大幅度降低了系统的数据处理量。此外,由于距离向的信号重建处理,使距离向旁瓣得到有效抑制。
Abstract:It is hard to detect grounding grid because of buried underground. So radar system is applied to effectively detect grounding grid grounding grid without ground excavation. An image processing issue of radar intelligent detection system for grounding grid is studied in this paper. By considering the targets distribution of grounding grid scene, the sparse characteristics of signals caused by the strong reflection from grounding conductors can effectively data in low-dimension mode based on sparse sampling theory, which improves the efficiency of system detection and data processing. Then by using signal reconstruction method, the 2D contour of target can be obtained and effective 2D images of grounding grid can be output by processing the low dimension data. Simulation results verify the effectiveness of imaging algorithm, and show that the algorithm is able to obtain high resolution output with well computational efficiency. In addition, range side lobes are faithfully suppressed due to the signal reconstruction.
标题：基于稀疏采样的电力接地网雷达检测系统成像算法
英文标题：An Imaging Algorithm of Radar Detection System for Power Grounding Grid Based on Sparse Sampling Method
作者：宋继明, 倪向萍, 武昕,
关键词：接地网, 雷达检测, 稀疏采样, 成像,
发表日期：2015-12-09
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