BDS三频数据的周跳探测方法研究OA

In view of the problems that traditional pseudo-range phase combination method and STPIR method are greatly affected by observation noise and multi-path effect under low sampling rate,cycle slip is easily misjudged under strong noise environment,and detection performance is affected during periods of frequent or drastic changes in ionospheric activity.We introduce the time window method to improve the judgment conditions of pseudo-range phase combination method and STPIR method con-sidering altitude angle,and the weighted recursive smoothing method is combined with time window to improve the algorithm.Experimental verification is conducted using observation data of IGS sta-tions.The results show that the improved algorithm can detect and repair various types of cycle slips well.