面向单双频混合及中断数据周跳处理方法

Cycle slip processing method for mixed single and dual frequencies and data gaps

针对复杂环境下,传统周跳探测方法并不能取得良好的探测效果的问题,提出一种面向单双频混合及中断数据的周跳处理方法:介绍传统的无几何距离(GF)组合、墨尔本-维贝纳(MW)组合和多项式拟合法及其优势和不足;利用站间单差形式的GF组合和MW组合处理双频数据,利用改进后的多项式拟合法处理单频数据,联合3种方法克服数据中断带来的挑战,实现相对定位和实时周跳探测。实验结果表明,改进的联合探测方法比传统方法可削弱更多误差;相较于传统方法在探测率、固定率、均方根、定位偏差等精度方面都有较明显提高,其中探测修复率提高15%以上,固定率提高16.8%,复杂环境下的定位精度由分米级提升到厘米级;可为周跳处理提供参考。

Aiming at the problem that the traditional cycle slip detection method can not achieve good detection effects,the paper proposed a cycle slip processing method for mixed single and dual frequencies and data gaps:the traditional geometry-free(GF),Melbourne-Wübbena(MW)combination and polynomial fitting method were introduced,and the advantages and disadvantages of each method were evaluated;then the GF combination in the form of single difference between stations and MW combination were used to process the dual-frequency data,and the improved polynomial fitting method was used to process the single-frequency data,thus the three methods were combined to overcome the challenge of data gaps and realize relative positioning and real-time cycle slip detection.Experimental result showed that compared with the traditional method,the proposed combined detection method could weaken more errors,and improve the accuracy of detection rate,fixed rate,root mean square,positioning deviation and so on,among which the detection and repair rate would increase by more than 15%,and the fixed rate by 16.8%,in addition,the positioning accuracy under complex environments could be improved from decimeter level to centimeter level,which could provide a reference for cycle slip processing.