Ge Jian, Wang Wenjie, Dong Haobin, Liu Huan, Zhang Xinglin, Luo Wang, Zhang Haiyang, Zhu Jun
School of Automation, China University of Geosciences, Wuhan 430034, China.
Science and Technology on Near-Surface Detection Laboratory, Wuxi 214000, China.
Rev Sci Instrum. 2021 Feb 1;92(2):024502. doi: 10.1063/5.0028025.
The traditional aeromagnetic compensation model does not consider the negative effects of the gradient of the geomagnetic background field. Especially in emergency aeromagnetic surveys, this gradient effect is obvious and can reduce the performance of magnetic compensation. To solve this problem, we propose a method of reducing the gradient effect of the magnetic sensor for aeromagnetic compensation. A magnetic gradient model of the Earth's background field is established for the aeromagnetic compensation, and the gradient effect is then suppressed using altitude data. An experimental platform was built, and flight tests were conducted. Comparison results show that the adoption of the proposed method increased the improvement ratio (IR) of our compensator on two flights from 20.4 and 21.3 to 25.9 and 26.0, with the growth rates of the IR, respectively, reaching 27% and 22%.
传统的航磁补偿模型没有考虑地磁背景场梯度的负面影响。特别是在应急航磁测量中,这种梯度效应很明显,会降低磁补偿的性能。为了解决这个问题,我们提出了一种降低航磁补偿磁传感器梯度效应的方法。为航磁补偿建立了地球背景场的磁梯度模型,然后利用高度数据抑制梯度效应。搭建了实验平台并进行了飞行测试。对比结果表明,采用该方法后,我们的补偿器在两次飞行中的改善率(IR)从20.4和21.3提高到了25.9和26.0,IR的增长率分别达到27%和22%。