引入并讨论了航空重力测量和航空重力梯度测量的原理。
The principles of airborne gravimetry and airborne gravity gradiometry are introduced and discussed.
然后利用这些方法对中国大同航空重力测量数据进行向下延拓计算。
The downward continuation computation for real airborne gravity data in the Datong region of China is performed by means of these methods.
针对航空重力测量数据事后处理的特点，基于窗函数法设计了FIR数字滤波器。
Considering the characteristics of the processing of aerial gravimetry data, a FIR digital filter based on the window function is designed.
航空重力测量测线网平差是航空重力测量的关键技术之一，这也是本文的主要内容。
The network adjustment is one of key techniques for airborne gravimetry, it is also an important component in this paper.
本文通过对航空重力测量数据的分析，建立起具有空间相关特性的空间协方差函数模型。
By the analysis of airborne gravity measurement data, this paper constructs a space covariance function model with spatial characteristics.
航空重力测量数据中含有大量的噪声，需要采用FIR低通滤波器来提取实际的重力异常信息。
There is a lot of noise in the data observed by airborne gravimeter. Digital lowpass FIRfilter is needed to extract the factual gravity field information from such data.
利用该计算方案对航空重力测量的GPS速度数据以及构造的模拟速度数据进行处理得到平滑后的加速度值。
The GPS velocity data and simulation velocity data of airborne vector gravimetry is processed to yield the smoothed acceleration by using the computing method above.
利用所建立的模型，将航空重力测量试验数据采用最小二乘配置的方法向下延拓到地面，与地面已知重力数据进行比较。
Using this model, the airborne gravity measurement test data is downward continued based on least squares collocation and is compared with known ground gravity data.
利用所建立的模型，将航空重力测量试验数据采用最小二乘配置的方法向下延拓到地面，与地面已知重力数据进行比较。
Using this model, the airborne gravity measurement test data is downward continued based on least squares collocation and is compared with known ground gravity data.
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