重力卫星时变重力场条带误差加权平均滤波算法
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1.中国地震局地震研究所,中国地震局地震大地测量重点实验室;2.成都大学建筑与土木工程学院

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P312.1

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国防科工局民用航天技术预先研究项目(D010103);国家重点研发计划课题(2018YFC1503503);国家自然基金(41704135)资助


The Research on Weighted Average Filter Algorithm for Gravity Satellite Time-Variable Gravity Field Strip Errors
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Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration

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    摘要:

    GRACE(Gravity Recovery And Climate Experimen)时变重力场条带误差直接影响着陆地水储量反演精度。本文采用加权平均滤波算法用于削弱此类误差,该算法简单有效,易于通过编程实现。采用CSR(Center for Space Research of Texas University in Austin)提供的Level-2 RL05版本时变重力场模型反演2009年5月全球陆地水储量变化情况和2010年中国西南地区干旱事件,在处理条带误差时利用加权平均滤波算法,并将结果与其他方法进行比较。比较结果表明:加权平均滤波算法与传统算法处理效果基本一致,验证了本文算法的有效性和可靠性。

    Abstract:

    it’s a direct impact on the land water reserves inversion accuracy that GRACE(Gravity Recovery And Climate Experimen)time-varying gravity field stripe error. Weighted average filter algorithm is used to reduce this kind of error in this paper, and this algorithm is simple and effective, easy to implement by programming. the global continental water storage variation in May 2009 and drought in southwest China in 2010 was calculated using GRACE Level-2 RL05 gravity filed model published by CSR (Center for Space Research of Texas University in Austin), and the correlated errors are processed by weighted average filter. These results were compared with other methods. The comparison results show that weighted average filter is basically consistent with traditional algorithm, which verifies the effectiveness and reliability of the proposed algorithm.

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邹正波,宋哲,崔立鲁,等. 重力卫星时变重力场条带误差加权平均滤波算法[J]. 科学技术与工程, 2019, 19(32): 52-57.
ZOU Zheng-bo, SONG Zhe,,et al. The Research on Weighted Average Filter Algorithm for Gravity Satellite Time-Variable Gravity Field Strip Errors[J]. Science Technology and Engineering,2019,19(32):52-57.

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历史
  • 收稿日期:2019-04-29
  • 最后修改日期:2019-06-06
  • 录用日期:2019-07-09
  • 在线发布日期: 2019-12-04
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