Research on Range Profile Target Detection Algorithm of Stepped-Frequency Ground Penetrating Radar

Xinxin Zhang, Yanbo Zhang, Xiangdong Li, Xingwen Zhao, Guang Yan
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引用次数: 0

Abstract

Stepped-frequency ground penetrating radar (SFGPR) is a non-destructive detection method that transmits continuous waves to the target through the antenna and receives the echo through the antenna after reflection and refraction. After data processing, the position of the underground target and the distribution of the medium inside the target can be determined. Therefore, it is crucial to accurately determine the location of the target. In this paper, after smoothing, threshold setting and target wave peak judgment of the one-dimensional range profile of the SFGPR, a more accurate peak can be detected by using the weighted average method. The algorithm can not only make up for the shortcomings of strict waveform requirements in Gaussian fitting but also be simple to understand and more accurate in peak localization compared with Gaussian fitting peak search.
步进频率探地雷达距离像目标检测算法研究
步进频率探地雷达(SFGPR)是一种通过天线向目标发射连续波,经过反射和折射后通过天线接收回波的无损探测方法。经过数据处理,可以确定地下目标的位置和目标内部介质的分布。因此,准确确定目标的位置是至关重要的。本文对SFGPR的一维距离像进行平滑、阈值设置和目标波峰判断后,采用加权平均的方法可以检测出更精确的峰值。该算法不仅弥补了高斯拟合对波形要求严格的缺点,而且与高斯拟合的峰值搜索相比,该算法易于理解,在峰值定位方面也更加准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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