摘要
首先分析了矩阵变换、无几何CIR、几何CIR、组合观测量PAR、原始观测量PAR五种模糊度解算方法的原理;然后采用短基线北斗三频实测数据对每种方法进行测试和分析比较。结果表明:短基线条件下,无几何CIR算法和矩阵变换算法受电离层延迟和观测噪声的影响较大,模糊度固定成功率比较低,不适用于北斗实测数据;几何CIR算法和组合观测量PAR算法采用组合观测量会放大噪声水平,部分历元的模糊度固定出现错误;原始观测量PAR模糊度固定成功率最高,在本次算例中达到100%。
First of all, five multi-frequency ambiguity resolution methods are analyzed, including the matrix transformation, geometry-free CIR, geometry-based CIR, partial ambiguity resolution with combination observations and partial ambiguity resolution with original observations.Then, the above methods are tested and compared based on Beidou triple-frequency measurement data of short baseline.The results indicated that：the ambiguity can hardly be fixed in single epoch with geometry-free CIR and matrix transformation, for the two methods are limited to serious ionospheric delay and noise effects. Hence, they are not suitable for Beidou measurement data.Moreover, when using geometry-based CIR and partial ambiguity resolution with combination observations, some errors appears in part of the epoch because both the two methods utilize the combination observations which can enlarge the noise effects.On the contrary, the partial ambiguity resolution with original observations get satisfactory ambiguity resolution results and the success rate can reach 100%.
出处
《海洋测绘》
CSCD
2015年第4期44-47,共4页
Hydrographic Surveying and Charting
基金
国家自然科学基金(41374008)
