一种动态整周模糊值求解算法及其仿真分析

Research on on-the-fly ambiguity resolution algorithm and its simulation

针对GPS应用中的动态整周模糊值求解问题,结合Z变换减少模糊值参数的强相关性和FASF(快速模糊值搜索滤波器)算法递归确定模糊值搜索空间的优点,提出了基于Z变换增强FASF的整周模糊值求解算法,并给出了计算机实验结果。仿真结果表明,相对于传统的模糊值解算算法,该算法能显著降低整周模糊值解算所需要的历元数目,提高整周模糊值解算的效率和实时性,对GPS实时高动态定位和GPS实时姿态测量的工程应用及理论研究具有参考价值。

On-The-Fly ambiguity resolution was a key problem in GPS applications. The Z-transformation augmented FASF（Fast ambiguity search filter） algorithm is presented, which utilized the advantage of ambiguity decorrelation of Z-transformation algorithm and recursive computation of search scope of FASF algorithm. The simulation results show that the algorithm can extremely decrease the epoch number required to resolve integer ambiguity and improve the efficiency and real-time performance of integer ambiguity resolution cmpared with traditional ambiguity resolution algorithm. The research work should be valuable in the project application and the theory research of GPS based real time attitude determination or GPS based real-time high dynamic positioning.