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Method for using external constraints to improve the speed and reliability of phase ambiguity resolution in real-time kinematic initialization

机译:运动学实时初始化中利用外部约束提高相位模糊度求解的速度和可靠性的方法

摘要

A method for obtaining integer ambiguity solutions based on externally provided constraints, e.g., altitude. Such constraints are useful in reducing the computational burden created by the search problem, and using constraints is particularly more effective when a more limited number of satellite vehicles are visible than is ordinarily the case. The constraints are exercised in a search algorithm. As the branches of the integer ambiguity search tree are traversed, an additional test is used to determine if the current search candidate is compatible with such external constraint. Because a three-dimensional position is associated with each search candidate, the branch clipping is straightforward. The ambiguity candidates are each only acceptable if their locations in space are within a confidence region bound set determined from the external constraint. Any sensor that can provide any combination of x, y, or z position information that is better than that obtainable from GPS code phase is a candidate source of such external constraints.
机译:一种用于基于外部提供的约束(例如高度)来获得整数歧义解的方法。这样的约束对于减少由搜索问题造成的计算负担是有用的,并且当可见的卫星飞行器的数量比通常情况多时,使用约束特别有效。约束在搜索算法中行使。当遍历整数歧义搜索树的分支时,将使用附加测试来确定当前搜索候选者是否与此类外部约束兼容。因为三维位置与每个搜索候选相关联,所以分支剪切很简单。仅当模糊度候选者在空间中的位置在由外部约束条件确定的置信区域边界集内时,它们才是可接受的。可以提供比从GPS代码阶段获得的更好的x,y或z位置信息的任何组合的任何传感器都是此类外部约束的候选来源。

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