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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。
The hidden location of the grounding grid results in detection limitations, and the use of a radar system allows for easy detection without excavation. In this paper, we study the imaging processing problem of ground network radar intelligent detection system. Combining with the target distribution characteristics of ground network detection scene, based on the sparse sampling theory, the signal sparseness presented by the strong reflection of ground conductor realizes the effective data low Dimension projection measurement, improve the system detection and data processing efficiency. On the basis of low-dimensional data, the two-dimensional contour of the target is obtained by signal reconstruction to obtain a two-dimensional imaging output. The simulation results verify the effectiveness of the imaging algorithm, while achieving high-resolution output and greatly reducing the data processing capacity of the system. In addition, the distance sidelobe is effectively suppressed due to the signal reconstruction process of distance.