基于站间单差的GPS/GLONASS组合模糊度解算研究

推导分析了基于站间单差的GPS/GLONASS组合双差模糊度解算数学模型及影响其精度的误差因素。利用模糊度参数在无周跳和粗差情况下的时不变性特点,采用自适应选权滤波对单差数据进行滤波处理,并将滤波后的单差模糊度通过选择基准卫星固定为双差模糊度。采用不同长度的实测动静态短基线数据进行测试,结果表明基于自适应选权滤波的站间单差模型可以简便有效地进行双差模糊度固定,模糊度固定成功率在95%以上,解算精度优于单模型以及双模型单历元解。

Ambiguity Resolution of GPS/GLONASS Based on Single Difference between Stations

In this paper, the mathematical model of GPS and GLONASS based on the single difference between stations is derived, and the error factors affecting the positioning accuracy are analyzed. Considering that the ambiguity is fixed without cycle slip and gross error, single difference ambiguity can be more smooth using filtering of selecting equivalent weight matrix, and then can be fixed with double difference ambiguity after choosing a reference ambiguity. The dynamic and static short baseline data are measured with different lengths, and the results show that the double difference ambiguity based on adaptive filtering by selection of the parameter weights of single difference model can be fixed well, and success rate is higher than the single epoch solution.