附加约束条件的模糊度函数法及其在GPS相位差分动态定位中的应用
Ambiguity Function Method with Constrained Conditions and Its Application in GPS Kinematic Positioning
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摘要: 在分析动态定位模式下的Kalman滤波法和模糊度函数法各自局限性的基础上,提出了一种充分利用所有观测值信息的新方法——附加约束条件的模糊度函数法。该法对GPS动态定位实测数据的处理表明:在一般的地面车辆动态噪声水平上,只要有三颗卫星保持锁相,则可完全修复周跳并确定出运动天线的位置。实例验证了该法的有效性。Abstract: Analyzing the limits of the Kalman filterins method and ambiguity function method in kineatic mode,we give a new method-ambiguity function method with consttained conditions which can make use of all observation information. The results obtained from the data processing of the vehicle borne GPS test have proved that of there are three satellite signals locked,the cycle slips on other satellites can be removed completely.