测绘学报 ›› 2020, Vol. 49 ›› Issue (2): 135-146.doi: 10.11947/j.AGCS.2020.20190010

• 大地测量学与导航 •    下一篇

补偿海空重力测量动态效应剩余影响的通用模型

黄谟涛1, 陈欣1, 邓凯亮1,2, 欧阳永忠3, 陆秀平1, 吴太旗1, 翟国君1   

  1. 1. 海军海洋测绘研究所, 天津 300061;
    2. 国防科技大学机电工程与自动化学院, 湖南 长沙 410073;
    3. 自然资源部海洋环境探测技术与应用重点实验室, 广东 广州 510300
  • 收稿日期:2019-01-22 修回日期:2019-08-24 发布日期:2020-03-03
  • 通讯作者: 邓凯亮 E-mail:dengkailiang036@163.com
  • 作者简介:黄谟涛(1961-),男,博士生导师,研究方向为海洋重力场测定理论方法及应用。E-mail:ouyangyz@sohu.com
  • 基金资助:
    国家重点研发计划(2016YFC0303007;2016YFB0501704);国家自然科学基金(41474012;41804011;41706111;41774021);国家重大科学仪器设备开发专项(2011YQ12004504)

A general model for compensating remainder dynamic environment effect on marine and airborne gravimetry

HUANG Motao1, CHEN Xin1, DENG Kailiang1,2, OUYANG Yongzhong3, LU Xiuping1, WU Taiqi1, ZHAI Guojun1   

  1. 1. Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China;
    2. College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China;
    3. Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, China
  • Received:2019-01-22 Revised:2019-08-24 Published:2020-03-03
  • Supported by:
    The National Key research and Development Program of China(Nos. 2016YFC0303007;2016YFB0501704);The National Natural Science Foundation of China (Nos. 41474012;41804011;41706111;41774021);The National Key Scientific Instrument and Equipment Development Project of China(No. 2011YQ12004504)

摘要: 针对目前作业过程中普遍存在的测量动态环境效应剩余影响问题,在深入分析海空重力测量误差源形成机理及其变化特性基础上,提出了一种适用于补偿各类海空重力仪动态效应剩余影响的通用模型;研究探讨了通用模型形式优选和模型参数估计问题,将基于信息论的Akaike信息量准则引入通用模型表达式的优选过程,提出应用互相关分析方法对模型参数进行估计,在双重约束下构建了补偿动态效应剩余影响的优化模型。使用典型动态环境下的海面重力观测数据对该方法的有效性进行了验证,结果显示,海洋重力测量成果内符合精度从原先的±9.35×10-5 m/s2大幅提升到±1.01×10-5 m/s2,充分体现了本文方法和模型对消除高动态测量环境效应影响的优良特性。

关键词: 海空重力测量, 动态环境效应, 模型选择, Akaike信息量准则, 互相关分析, 误差补偿

Abstract: In view of the fact that there always existing remainder dynamic environment effect on marine and airborne gravimetry, after finishing a detail analysis on the mechanism of creating different kinds of measurement error source and their change characteristic, we propose a general model to compensate the remainder dynamic environment effect, which is suitable for different kinds of marine and airborne gravimeters. Optimum seeking method of general model expression and estimation method of model parameters are studied and discussed. The famous Akaike information criterion based on information theory is suggested to be used in optimum seeking method of general model expression. And a crosscorrelation analysis is used to make the estimation of model parameters. Finally, an optimum general model expression for compensating the remainder dynamic environment effect is determined under previous double restraining condition. An actual marine gravity measurement set is used as a case study to test the validity of the suggested method and model. It is showed that a distinct overall improvement is gained with the approach, the RMS error of crossover discrepancies is reduced from±9.35×10-5m/s2 with the original observed gravity data to±1.01×10-5m/s2 with the corrected data. This result embodies the excellent performance of the new method and model for eliminating high dynamic environment effect on marine and airborne gravimetry.

Key words: marine and airborne gravimetry, dynamic environment effect, model selection, Akaike information criterion, crosscorrelation analysis, error compensation

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