三轴稳定平台式航空重力测量数据处理方法研究与实现

doi:10.11720/wtyht.2019.0052

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Abstract

It is of great significance to study the data-processing methods of airborne gravity survey, improve the accuracy of data processing and catch up with the advanced world level. In this paper, based on the domestic three-axis stabilized platform airborne gravity measurement system, the authors carried out the research on data processing methods and corresponding software development of airborne gravity measurement and realized the Kalman smoothing algorithm suitable for the stabilized platform airborne gravity data. The platform airborne gravity anomaly was solved for the first time in China. The internal coincidence accuracy reached 0.590×10 ^-5m/s ², the external coincidence (GT airborne gravity measuring system) accuracy reached 0.581×10 ^-5m/s ², and the accuracy of data processing was up to the international advanced level. The results show that the data processing method is feasible, has high precision, and can improve the data-processing technology of airborne gravity survey in China.

Key words： three-axis stabilized platform gravity data processing FIR(Finite Impulse Response)lowpass filter Kalman filter

Received: 23 January 2019 Published: 15 August 2019

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	Articles by authors
	Feng LUO
	Guan-Xin WANG
	Xi-Hua ZHOU
	Xing-Su LI

Cite this article:

Feng LUO,Guan-Xin WANG,Xi-Hua ZHOU, et al. Research and implementation of data processing method for the three-axis stabilized platform airborne gravity measuring system[J]. Geophysical and Geochemical Exploration, 2019, 43(4): 872-880.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2019.0052 OR https://www.wutanyuhuatan.com/EN/Y2019/V43/I4/872

Flow chart of calculation and processing of correction and filtering of airborne gravity measurement data of three-axis stabilized platform

Gravity sensor and GNSS antenna position coordinate diagram in the carrier coordinate system

Horizontal acceleration correction diagram

Performance comparison of several window functions

The internal (a) and external (b) accord accuracy of the first flight repeat lines after 100 s low-pass filtering

The internal (a) and external (b) accord accuracy of the second flight repeat lines after 100 s low-pass filtering

The internal (a) and external (b) accord accuracy of the third flight repeat lines after 100 s low-pass filtering

The internal (a) and external (b) accord accuracy of the fourth flight repeat lines after 100 s low-pass filtering

The internal accord accuracy of the fourth flight repeat lines after FIR low-pass filtering with different windows function

The internal (a) and external (b) accord accuracy of all repeat lines along east-west direction after 100 s low-pass filtering

The internal (a) and external (b) accord accuracy of the first flight repeat lines after Kalman filtering

The internal (a) and external (b) accord accuracy of the second flight repeat lines after Kalman filtering

The internal (a) and external (b) accord accuracy of the thrid flight repeat lines after Kalman filtering

The internal (a) and external (b) accord accuracy of the fourth flight repeat lines after Kalman filtering

The internal (a) and external (b) accord accuracy of all repeat lines along east-west direction after Kalman filtering

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