To analyze the influence of various possible errors in the actual ground-penetrating radar data processing on the imaging effect of the reverse time migration algorithm, numerical simulation tests are used to analyze the effect of the velocity errors in model and noises in data. For velocity error, models with different velocities and abnormal body depths, and simplified velocity models are used to test the subsequent imaging effect. Results show that with the increase of the velocity error and the depth of the abnormal body, the deviation of the position of the abnormal body also increases. For the layered structure with slight differences in velocity between each layer, imaging using a simplified uniform half-space model can still effectively distinguish the anomalies. Imaging tests are also performed on data with different noise levels. The results show that the reverse time migration (RTM) algorithm is effective on noise suppression. Even if the signal-to-noise ratio of the valid signal in the received data is around ?15 dB, the RTM algorithm can still image the corresponding structure.

%U https://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2023.015