由于不能满足成分数据两个约束条件，以往对按时间顺序收集的成分数据预测，其预测值之和不等于1。
Because it cannot reach the two constrained conditions, previous forecast value based on time series composition data cannot add up to 1.
本文结合课题要求，主要讨论了在现有条件下在动坐标基准下如何处理GPS数据和弱约束条件下如何提高测姿精度的问题。
This paper combining the project request, mainly discuss under the condition of moving coordinate how to handle GPS data and under weak restrictions how to improve the attitude accuracy.
该算法直接利用前一周期的时延信息来更新路由表，以作为当前寻找路径的依据，在满足带宽和时延波动约束条件下，使数据传送过程时延最小化。
It can refresh the router table by the previous delay information to find a suitable path with the constraints of the bandwidth and the delay-jitter.
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