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Use of ground penetrating radar for detecting underground holes in urban areas: XMU's experience

机译:使用探地雷达探测城市地区的地下洞:XMU的经验

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This paper presents a cosine-based back-projection(CBP) algorithm for ground penetrating radar(GPR) imaging to detect underground holes. Compared with the classic back-projection imaging algorithm, the CBP algorithm provides a better performance due to better effect of clutter suppression. In the proposed algorithm, a cosine-based measure function is established to describe the similar feature between every two different echo signals to achieve excellent artifact suppression. Then numerical simulation and experimental data set were used to test the SBP algorithm. The experimental data set was gained in Double Han Road, Siming District of Xiamen, China, and acquired by the the Latvia radar system, zond-12e model, which has a 115 kHz transmitting frequency, 40/80/160/320 Hz scanning frequency, ±40dB receive gain and 2000ns time-window width. The results fully demonstrate the effectiveness and superiority of CBP algorithm.
机译:本文提出了一种基于余弦的反投影(CBP)算法,用于探地雷达(GPR)成像以检测地下洞。与经典的反投影成像算法相比,CBP算法由于具有更好的杂波抑制效果,因此具有更好的性能。在提出的算法中,建立了一个基于余弦的测量函数来描述每两个不同回波信号之间的相似特征,以实现出色的伪影抑制。然后利用数值模拟和实验数据集对SBP算法进行了测试。实验数据集是在中国厦门市思明区双汉路获得的,并通过拉脱维亚雷达系统zond-12e模型获得,该系统的发射频率为115 kHz,扫描频率为40/80/160/320 Hz ,±40dB的接收增益和2000ns的时间窗口宽度。结果充分证明了CBP算法的有效性和优越性。

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