基于多元线性回归的航空重力梯度测量自身梯度校正

doi:10.13278/j.cnki.jjuese.20190040

Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (3): 883-894.doi: 10.13278/j.cnki.jjuese.20190040

Correction of Self-Gradient in Airborne Gravity Gradient Measurement Based on Multiple Linear Regression

Sun Yong¹, Yu Ping¹, Wang Xinyue², Huang Danian¹

1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
2. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China

Received:2019-03-05 Published:2020-05-29
Supported by:
Supported by National Science Foundation of Jilin Province (20180101312JC), National High-Tech R & D Program of China (2014AA06A613), and National Postdoctoral Program for Innovative Talents (B2017-014)

Abstract

Abstract: The self-gradient effect produced by the vehicle is a serious disturbance to the ultra-high precision of the gravity gradiometer in an airborne gravity gradient survey. Due to the complexity of the vehicle structure, it is difficult to remove these interferences by using conventional modeling and forward calculation accurately. In this article, a multiple linear regression algorithm is used to deal with its own gradient effect, which corrects the interference from the gradient in a pure data-driven way,without making any assumptions or approximations to the vehicle model. Through regression diagnosis and model simulation, this correction method has high accuracy and predictive ability when the actual corner is within the ground calibration range.

Key words: airborne gravity gradient, self-gradient effect, regression analysis

CLC Number:

P631.1

Sun Yong, Yu Ping, Wang Xinyue, Huang Danian. Correction of Self-Gradient in Airborne Gravity Gradient Measurement Based on Multiple Linear Regression[J].Journal of Jilin University(Earth Science Edition), 2020, 50(3): 883-894.

References

[1] Dransfield M, Tiaan L R, Darren B. Airborne Gravimetry and Gravity Gradiometry at Fugro Airborne[C]//Abstracts from the ASEG-PESA Airborne Gravity Workshop. Sydney:[s. n.], 2010:49-57.
[2] Nabighian M N, Ander M E, Grauch V J S. Historical Development of the Gravity Method in Exploration[J]. Geophysics, 2005, 70(6):63-79.
[3] Murphy C A. The Air-FTGTM Airborne Gravity Gradiometer System[C]//Airborne Gravity 2004:Abstracts from the ASEG-PESA Airborne Gravity Workshop. Sydney:[s. n.], 2004:7-13.
[4] Difrancesco D. Advances and Challenges in the Development and Deployment of Gravity Gradiometer Systems[C]//EGM 2007 International Workshop.[S. l.]:European Association of Geoscientists & Engineers, 2007:1-6.
[5] Bell Geospace. Air-FTG® Acquisition and Processing Report Geological Survey of Swede Kiruna Survey, Kiruna, Sweden[R/OL].[2013-11-02]. http://www.bellgeo.com
[6] Bell Geospace. Processing and Acquisition of Air-FTG® Data and Airborne Magnetics Trill Project and Extension Sudbury Basin, Ontario, Canada for Wallbridge Mining Company Limited[R/OL].[2015-03-01].
[7] Marshall M R. An Investigation into the Feasibility of Using a Modern Gravity Gradient Instrument for Passive Aircraft Navigation and Terrain Avoidance[D]. Dayton:Department of the Airforce University, 2009.
[8] 袁圆. 全张量重力梯度仪数据的综合分析与处理解释[D]. 长春:吉林大学,2015. Yuan Yuan. Comprehensive Analysis, Processing and Interpretation of the Full Tensor Gravity Gradient Data[D].Changchun:Jilin University, 2015.
[9] 丁昊,孙晓洁,李海兵. 旋转式重力梯度仪自身梯度补偿研究[J]. 导航与控制,2015,14(2):29-31. Ding Hao, Sun Xiaojie, Li Haibing. Research on Self-Gradient Compensation of Rotating Accelerometer Gravity Gradiomter[J]. Navigation and Control, 2015, 14(2):29-31.
[10] 孙中苗. 航空重力测量理论、方法及应用研究[D].郑州:解放军信息工程大学,2004. Sun Zhongmiao. Throry, Methods and Applications of Airborne Gravimetry[D]. Zhengzhou:Information Engineering University, 2004.
[11] 王泰涵,肖锋,袁园,等. 航空重力梯度测量飞行姿态影响及误差校正[J].世界地质,2014,33(3):680-684. Wang Taihan, Xiao Feng, Yuan Yuan, et al. Impact of Flight Attitude and Error Correction on Airborne Gradiometry[J]. Global Geology, 2014, 33(3):680-684.
[12] Specification of Cessna Caravan N208CC[EB/OL].[2019-01-05].http://cessna.txtav.com/en/turboprop/caravan#cvingspan.

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