集成多遥感载荷的新型航空遥感系统实现超高分辨率运动成像，迫切需要分布式SINS/GPS组合测量系统精确测量柔性长基线上所有载荷点的运动参数，进行运动补偿。由于多源扰动环境下机体挠曲变形，载荷间空间距离（基线）呈复杂柔性变化；载荷越多，相对空间基线越长，柔性基线效应越显著，导致各点运动信息相互动态时变，且状态不确定。此时测量系统如何布局并融合有限个子系统的数据，实现所有载荷点运动参数的精确测量，是分布式SINS/GPS组合研究面临的新挑战。本项目首先进行分布式SINS/GPS系统最优布局，确定子系统最佳数量和安装位置；然后进行子系统信息融合，提高子系统整体测量精度；在此基础上，求解未安装子系统载荷点的运动参数，实现有限个子系统对所有载荷点运动参数的高精度获取，并进行仿真和初步实验验证。预期成果将为解决柔性基线多节点运动信息精确测量难题提供理论与技术基础，为我国超高分辨率遥感提供技术储备。

A new type of aerial remote sensing system integrated with multi-imaging loads to realize ultra-high resolution motion imaging urgently needs the distributed SINS/GPS integrated measurement system to accurately measure the motion parameter of all load points on flexible long baseline for motion compensation. Due to the flexural deformation of the flying platform under multi-source disturbance, the space distance (baseline) between loads varies with complex flexibility and uncertainty. The more loads, the longer the relative spatial baseline, the more significant the effect of flexible baseline, which results in the dynamic time-varying motion information of each point and the states are uncertain. It is a new challenge for the research of distributed SINS/GPS integrated measurement that how to layout and fuse the data of limited number of subsystems to achieve high-precision measurement of the motion parameters of all load points. In this program, firstly, the optimal layout method of distributed SINS/GPS integrated measurement is studied to determine the optimal number and installation location of subsystems. Secondly, the information fusion method of subsystems is studied to integrate and share all observation information and improve the overall accuracy of subsystems. Based on this, the method of obtaining the motion parameters of load points without subsystems is studied to complete the motion parameters obtainment of all load points based on limited subsystems, and all methods are verified by simulation and preliminary experiments. Expected results will provide theoretical and technical basis for solving the problem of accurate measurement of multi-node motion information in flexible baseline, and provide technical reserve for our super-high-resolution remote sensing.