FAST FREQUENCY DOMAIN REVERSE-TIME MIGRATION BASED ON NUFFT FOR GROUND PENETRATING RADAR

Zhongwei Yang, Xiaopeng Yang*, Baozhi Wang, Tian Lan, Yi Zhao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The traditional migration algorithms for ground penetrating radar (GPR) imaging have the disadvantages of low accuracy and high computational complexity. Therefore, a fast frequency-domain reverse-time migration (FRTM) algorithm for GPR based on nonuniform fast Fourier transform (NUFFT) is proposed in this paper. The proposed algorithm is formulated by spectrum Green’s function, which avoids the multiple extrapolations of forward and backward wavefields, and greatly saves the calculation and storage resources. Furthermore, NUFFT is adopted to handle the uneven and huge amount of data collected in the actual scenario. Therefore, the rapid accumulation of imaging results can be achieved for each shot in the frequency domain. Simulation results show that the proposed algorithm can formulate the same high-quality focused image as conventional time-domain RTM algorithm but less time and storage resources are required. The proposed algorithm is suitable for real-time imaging of GPR equipment.

源语言英语
主期刊名IET Conference Proceedings
出版商Institution of Engineering and Technology
604-608
页数5
2020
版本9
ISBN(电子版)9781839535406
DOI
出版状态已出版 - 2020
活动5th IET International Radar Conference, IET IRC 2020 - Virtual, Online
期限: 4 11月 20206 11月 2020

会议

会议5th IET International Radar Conference, IET IRC 2020
Virtual, Online
时期4/11/206/11/20

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