导航卫星双基地SAR几何优选及实测边坡成像

Geometry optimization of bistatic SAR with GNSS transmitters and sloping fields imaging

  • 摘要: 基于导航卫星的星-地双基地SAR(GNSS-BSAR)作为一种新型的地表观测手段,具有重访时间短、覆盖范围广、系统成本低等显著优势。当地面接收机与目标场景距离较近时,由于GNSS-BSAR的分辨率较低,导致目标场景的成像结果与其在同一等距离线上的镜像混叠在一起,无法进行图像解译和形变反演处理。针对以上问题,本文提出了一种基于分辨率设计和等距离多普勒特性分析的导航卫星双基地SAR几何优选方法。该方法在选定实验场景的基础上,进行GNSS-BSAR分辨性能与等距离-多普勒特性的多目标联合优化,选定能够避免镜像模糊现象的导航卫星辐射源,实现GNSS-BSAR几何构型优选。基于以上方法,在重庆边坡地区设计GNSS-BSAR实验,成功获取了无镜像模糊的实测边坡成像结果,验证了几何优选方法的有效性。

     

    Abstract: Space-Surface bistatic SAR based on global navigation satellite system(GNSS-BSAR), as a new type of surface observation method, has significant advantages such as short revisit time, wide coverage, and low system cost. When the ground receiver is close to the target scene, due to the low resolution of GNSS-BSAR, the imaging result of the target scene is mixed with the mirror image on the same equidistance line, and image interpretation and deformation inversion cannot be performed. Performing processing. In view of the above problems, this paper proposes a geometric optimization method for navigation satellite bistatic SAR based on resolution design and equidistant Doppler characteristic analysis. This method performs multi-objective joint optimization of GNSS-BSAR resolution performance and equidistance-Doppler characteristics, on the basis of selected experimental scenes, selects a navigation satellite radiation source that can avoid the phenomenon of mirror image blur, and realizes the optimization of GNSS-BSAR geometric configuration. Based on the above methods, a GNSS-BSAR experiment was designed in the Chongqing slope area, and the measured slope imaging results without mirror blur were successfully obtained, which verifies the effectiveness of the proposed geometry optimization method.

     

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