【作者】 王彦平； 王佩悦； 申文杰； 李洋； 林赟； 吴波； 徐学永； 周叶；

【Author】 WANG Yanping;WANG Peiyue;SHEN Wenjie;LI Yang;LIN Yun;WU Bo;XU Xueyong;ZHOU Ye;North China University of Technology,NCUT;North Information Control Research Academy Group Co.,LTD.;

【机构】 北方工业大学； 北方信息控制研究院集团有限公司；

【摘要】 矿山边坡稳定性和形变信息获取是安全生产、灾害预测和预警的重要信息来源。地基合成孔径雷达(GBSAR,Ground-Based Synthetic Aperture Radar)具有基于差分干涉技术来获得被观测区域的亚毫米级形变信息的优点,对矿山安全生产具有重要意义。然而,矿区中连续运动的车辆会产生大量散焦/偏移信号覆盖在图像上,不容易获取矿山本身的形变信息。因此,需要抑制动目标干扰,提取无动目标的场景以作为形变提取的基础。针对上述问题,本文提出基于相对速度的GBSAR无动目标场景重建算法,该算法引入相对速度的概念,将距离多普勒算法与相对速度聚焦模型结合,将动目标聚焦然后进行逆回波操作,再与原始回波信号相减获得无动目标的信号,进而利用RD成像获得完整无动目标地基SAR图像。本文采用仿真实验来验证了所提算法的正确性和有效性。更多还原

【Abstract】 The acquisition of mine slope stability and deformation information is an important source of information for safety production,disaster prediction and early warning.Ground-Based Synthetic Aperture Radar(GBSAR) has the advantage of obtaining sub-millimeter deformation information of the observed area based on differential interference technology,which is of great significance to mine safety production.However,the continuous moving vehicles in the mining area will produce a large number of defocus/offset signals covering the image,and it is not easy to obtain the deformation information of the mine itself.Therefore,it is necessary to suppress the interference of moving targets and extract the scene of non-moving targets as the basis of deformation extraction.Aiming at the above problems,this paper proposes a GBSAR passive target scene reconstruction algorithm based on relative velocity.The algorithm introduces the concept of relative velocity,combines the range Doppler algorithm with the relative velocity focusing model,focuses the moving target and then performs inverse echo operation,and then subtracts the original echo signal to obtain the signal of the passive target,and then uses RD imaging to obtain a complete passive target ground-based SAR image.In this paper,simulation experiments are used to verify the correctness and effectiveness of the proposed algorithm.更多还原