单历元模糊度搜索空间设置过大或过小可能导致效率降低和无法搜索正确模糊度,因此在任一历元有一个比较可信和容易获得的模糊度初始解将在很大程度上改善搜索效率和可靠性。本文首先利用Melbourne—Wtibbena组合和Geometry-Free组合获得初始模糊度,采用最优模糊度和次优模糊度解对应的相位残差比与马德函数反余弦值和的比值做为判断条件,提出了一种新的适用单历元快速模糊度搜索方法。算例结果表明,新方法提高了模糊度固定成功率,为实时动态监测数据处理提供了一种新思路。
Setting search space efficiency or inability to get the of single epoch ambiguity too bigger or too smaller, may resuh in low correct ambiguity, so a more credible and easy access of initial phase ambiguity solution in any single epoch will greatly improve the search efficiency and reliability. This contribution uses Melbourne-Wtibbena and Geometry-Free combination observation to obtain the initial phase ambiguity and we put forward a new kind of single ambiguity search method using the ratio of the phase ambiguity residuals and the arccosine of the Mader functions of the best ambiguity and second best ambiguity as the conditional judgment. Result shows that the new method improves the efficiency and success rate of ambiguity fixing and provides a new method of real-time data processing for dynamic monitoring.