基于IGGⅢ抗差估计的GNSS部分模糊度固定改进算法  

Improved Algorithm of GNSS Partial Ambiguity Resolution Based on IGGⅢRobust Estimation

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作  者:薛佳琦 杜源 张勤[1] 景策 王梦璇 XUE Jiaqi;DU Yuan;ZHANG Qin;JING Ce;WANG Mengxuan(School of Geological Engineering and Geomatics,Chang’an University,Xi’an 710054,China)

机构地区:[1]长安大学地质工程与测绘学院,西安市710054

出  处:《大地测量与地球动力学》2024年第11期1155-1160,共6页Journal of Geodesy and Geodynamics

基  金:国家自然科学基金(42204026,42127802);中国博士后科学基金(2022M710477);陕西省重点研发计划(2021LLRH-06)。

摘  要:针对滑坡等复杂环境下GNSS观测数据受高遮挡、多路径等因素影响,易使模糊度固定成功率降低进而导致定位可靠性变差的问题,提出一种基于IGGⅢ抗差估计的GNSS部分模糊度固定改进算法。通过引入抗差估计算法,削弱粗差对参数估计的影响,提升浮点模糊度精度;此外,为避免残余误差对后续整周模糊度解算产生影响,采用基于条件方差矩阵法的部分模糊度固定改进策略,进一步提升模糊度固定成功率。实验结果表明,相比于全模糊度固定方法,该算法可显著提高模糊度固定率,3个测站分别提升5.9%、52.7%、48.0%;同时,相比于传统的卡尔曼滤波算法,改进的抗差估计算法可明显改善模糊度固定错误的情况,极大提升GNSS定位精度,水平方向RMS优于1cm,高程方向RMS优于2cm。In view of the problem that GNSS observation data in complex environments such as landslide is affected by factors such as high occlusion and multipath,it is easy for the success rate of ambiguity resolution to decrease and the positioning reliability to deteriorate.We propose an improved algorithm of GNSS partial ambiguity resolution based on IGGⅢrobust estimation.The robust estimation algorithm is introduced to weaken the influence of gross error on parameter estimation and improve the accuracy of floating-point ambiguity.In addition,to avoid the influence of residual error on the subsequent integer ambiguity resolution,and to further improve the success rate of ambiguity resolution,we adopt a partial ambiguity resolution improvement strategy based on conditional variance matrix method.The experimental results show that compared with the full ambiguity resolution method,the algorithm can significantly improve ambiguity resolution rate,and the results of three stations are increased by 5.9%,52.7%and 48.0%,respectively.At the same time,compared with the traditional Kalman filter algorithm,the improved robust estimation algorithm significantly improves the situation of incorrect ambiguity resolution and greatly improves the GNSS positioning accuracy.The horizontal RMS is better than 1 cm and the vertical RMS is better than 2 cm.

关 键 词:滑坡监测 抗差估计 GNSS部分模糊度固定 成功率指标法 条件方差矩阵法 

分 类 号:P228[天文地球—大地测量学与测量工程]

 

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