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中文摘要：
位置姿态测量系统（position and orientation system，POS）的精度直接影响高分辨率对地观测中成像载荷的成像质量和测绘精度，但POS的传统事后处理方法严重依赖初始阶段的静态对准，限制了应用中系统的反应速度，同时也未能充分利用整段测量数据提高系统处理精度。针对这个问题，提出一种基于时间双向解算航迹融合的POS事后处理算法，在传统算法基础上增加了时间逆向解算结果，并利用“凸组合”最优融合原则将时间正向解算结果与时间逆向解算结果进行融合，提高了系统处理精度和应用中系统的反应速度。联合飞行实验表明，应用该方法后，POS测量精度优于传统的事后处理算法。
英文摘要：
Precision of position and orientation system （POS） directly influences the imaging quality and measurement accuracy in high resolution ground observation. However, traditional post-processing algorithm heavily depends on the static alignment at the beginning, limits the reaction speed of POS, and doesn＇ t make full use of all the measurement data to improve the system processing accuracy. Aiming at these problems, this paper proposes a P0S post- processing algorithm based on navigation track fusion of bidirectional-time navigation, and the reverse-time optimal smoothing navigation solution is added to the traditional algorithm. The optimal fusion principle of ＂convex combina- tion＂ is applied to fuse the forward optimal smoothing solution and reverse optimal smoothing solution, which improves the system processing accuracy and system reaction speed in the applications. The results of joint flight experiment show that with this algorithm the POS measurement accuracy is superior to traditional POS processing algorithm.
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