| 新一代重力卫星时变重力场滤波方法分析 |
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| 引用本文： | 崔立鲁,杜安,高珊,姚远.新一代重力卫星时变重力场滤波方法分析[J].科学技术与工程,2021,21(8):3018-3022. |
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| 作者姓名： | 崔立鲁 杜安 高珊 姚远 |
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| 作者单位： | 成都大学建筑与土木工程学院,成都610106;武汉大学测绘学院,武汉430079;成都大学建筑与土木工程学院,成都610106 |
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| 基金项目： | 国家重点研发计划课题(2018YFC1503503)；国家自然基金(41931074)资助 |
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| 摘 要： | 新一代重力卫星的成功发射使连续监测全球陆地水储量变化成为现实.为了削弱高频误差和条带误差的影响,采用Level-2 RL06版本的时变重力场数据反演全球陆地水储量变化,并讨论了高斯滤波和Fan滤波的处理效果,并且利用水文模型数据进行验证.结果表明:采用滤波半径为250 km的Fan滤波和P3M8去相关滤波的组合算法既能有效地削弱相关误差,还能减少真实信号的损失.
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| 关 键 词： | 时变重力场 高频误差 条带误差 高斯滤波 Fan滤波 |
| 收稿时间： | 2020/7/25 0:00:00 |
| 修稿时间： | 2020/12/21 0:00:00 |
The Analysis of Filter Method for Time-variable Gravity Field Based on New Generation Gravity Satellite |
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| Cui Lilu,Du An,Gao Shan,Yao Yuan.The Analysis of Filter Method for Time-variable Gravity Field Based on New Generation Gravity Satellite[J].Science Technology and Engineering,2021,21(8):3018-3022. |
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| Authors: | Cui Lilu Du An Gao Shan Yao Yuan |
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| Institution: | School of Architecture and Civil Engineering, Chengdu University |
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| Abstract: | The successful launch of new generation geberation of gravity satellite makes contiuous monitoring global terrestrial water storage change a reality. To reduce the impact of high-frequency errors and striple errors effect, the global terrestrial water storage changes were calculated by using Level-2 RL06 time-variable gravity field data in this paper, and the processing effect of Gaussian and Fan filter were discussed and verified by using hydrological model data. The results shows that the combined algorithm of Fan filter with filter radius 250km and P3M8 decorrelation filter can effectively weaken these errors and maked the loss of real signals smaller. |
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