New attitude determination algorithm for single epoch, single frequency using GPS
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摘要: LAMBDA算法依赖于初始的模糊度浮点解,但仅用载波相位观测方程需要多个历元才能获得浮点解,将导致初始化时间过长.针对这一问题,对GPS(Global Positioning System)单历元的载波相位单差方程进行特殊变换,将未知的整周模糊度看成噪声,从而构造出新的观测方程,和原始的观测方程进行组合求解,克服了仅用载波相位双差观测方程因为亏秩而无法在单历元获得浮点解的缺点,解决了初始化时间的问题.通过深入研究浮点解和固定解之间的关系,提出一种将低精度浮点解映射到固定解的方法,降低了LAMBDA算法对高精度浮点解的依赖性,避免了用多个历元获取浮点解的高精度,从而实现了单频、单历元的整周模糊度估计.通过实际测试,该算法成功率高于97%,能够有效地用于实时动态姿态解算.Abstract: The LAMBDA method needs to start with a float solution to the ambiguities, and several epochs are needed by only using phase measurements and it will take a long initial time. To deal this problem, with the special transformation of global positioning system (GPS) carrier phase single difference observation equation of short baseline, new observation equations in which the unknown integer ambiguities are treated as noise could be obtained. Combining them with the original equations, it is possible to get a float solution using only one epoch for that the equations have redundancy. And it changes that the floating solution can not be obtained in a single epoch by only using double difference phase observation equation. In-depth study through the float solution and fixed solution from the LAMBDA algorithm, a new method which can fix the low precise float ambiguity to the correct integer ambiguity was given. It reduces the dependency of the high precise float resolution for LAMBDA method which needs many epochs to obtain, so the integer ambiguities can be estimated in single epoch and single frequency. The success rate is more than 97% in actual testing. The results show that the new method can be effectively used for real-time calculation of kinematic attitude.
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Key words:
- GPS /
- attitude determination /
- LAMBDA /
- integer ambiguity /
- float resolution /
- short baseline
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