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A Multiple Filter Approach for Precise Kinematic DGPS Positioning and Carrier-Phase Ambiguity Resolution

机译：精确运动DGPS定位和载波模糊度的多重滤波方法

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摘要

The most precise relative positioning obtained using differential GPS depends on an accurate determination of carrier-phase Integer ambiguities. To achieve high precision, many current static and kinematic surveying algorithms use a floating-point solution until enough information becomes available to fix the carrier-phase ambiguities accurately. A new method for kinematic carrier-phase ambiguity resolution, based upon a multiple-model adaptive Kalman filter, is presented in this paper. This method starts with the floating-point results, yet attains the precision of the correct fixed-Integer solution smoothly and rapidly, eliminating the need to decide when to switch from the floating to the fixed-integer solution. This method is based on a blending of solutions from multiple filters, each of which hypothesizes a different ambiguity set. The new method was evaluated during ground and flight tests. Initial results indicate that the method is capable of quickly resolving carrier-phase ambiguities and smoothly transitlonlng to a highly accurate (centimeter-level) navigation solution.
机译：使用差分GPS获得的最精确的相对定位取决于载波相位整数模糊度的准确确定。为了实现高精度，许多当前的静态和运动学测量算法都使用浮点解法，直到获得足够的信息来准确地修正载波相位模糊性为止。提出了一种基于多模型自适应卡尔曼滤波器的运动学载波相位模糊度求解新方法。此方法从浮点结果开始，但是可以平稳，快速地获得正确的固定整数解的精度，从而无需决定何时从浮点数切换到固定整数解。该方法基于混合来自多个过滤器的解决方案，每个过滤器都假设一个不同的歧义集。在地面和飞行测试中对新方法进行了评估。初步结果表明，该方法能够快速解决载波相位的歧义，并能够平稳过渡到高精度（厘米级）导航解决方案。

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