| 不同解算策略对GPS坐标序列噪声模型建立及速度影响 |
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| 引用本文： | 付杰,聂启祥,贺小星,陈红康,郇常敏.不同解算策略对GPS坐标序列噪声模型建立及速度影响[J].全球定位系统,2022,47(1):74-79. |
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| 作者姓名： | 付杰 聂启祥 贺小星 陈红康 郇常敏 |
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| 作者单位： | 1.华东交通大学 土木建筑学院, 南昌 330013 |
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| 基金项目： | 国家自然科学基金项目(42104023，41904002)；江西理工大学高层次人才科研启动项目(205200100564)；江西省教育厅科学技术研究项目(GJJ200639，GJJ171293) |
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| 摘 要： | 解算策略选择与GPS站速度及参数模型估计密切相关,本文选取陆态网下121个GPS基准站2011—2019年时间序列作为研究对象,采用赤池信息量准则/贝叶斯信息量准则(AIC/BIC)最优噪声模型评价准则,探讨GAMIT、Bernese及二者联合解算策略(Comb)对GPS坐标序列噪声模型和速度估计的影响.?结果表明:不...
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| 关 键 词： | GPS 坐标序列 解算策略 噪声模型 速度估计 |
| 收稿时间： | 2021-09-15 |
The influence of different calculation strategies on the establishment of GPS coordinate sequence noise model and speed |
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| Institution: | 1.School of Civil Engineer and Architecture, East China Jiaotong University, Nanchang 330013, China2.College of Architecture and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China3.School of Surveying and Mapping Engineering, East China Institute of Technology, Nanchang 330032, China |
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| Abstract: | The choice of solution strategy is closely related to GPS station speed and parameter model estimation. In this paper, 121 GPS reference stations under the land network are selected as the research object, and the akaike information criterion/Bayesian information criterion (AIC/BIC) optimal noise model evaluation criteria are used to discuss GAMIT, Bernese and their combined solution strategy (Comb) on the noise model and velocity estimation of the GPS coordinate sequence. The results show that different calculation strategies will have a certain impact on the GPS station parameter estimation results. In terms of the optimal noise model estimation, the GAMIT and Comb solution results mainly show the characteristics of the flicke noise+white noise (FN+WN) and power-law noise (PL)+WN models. The Bernese solution results show the characteristics of the FN+WN model in the east (E) and north (N) directions, and the characteristics of the PL+WN model in the up (U) direction; the influence of the solution strategy on the speed and speed uncertainty will be more significant in the U direction. |
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