捷联式航空重力测量系统的数据处理方法比较与分析

重力数据处理对获取高精度重力异常值有着重要作用，是重力测量的核心技术。重力仪在搭载运动载体进行重力测量时，载体的高频振动对重力测量数据和GPS数据均会产生不可避免的干扰，导致提取的重力异常粗值含有大量高频噪声。围绕重力数据的处理方法这一核心技术，介绍了FIR低通滤波、零相移滤波、标准Kalman滤波、正反Kalman滤波4种滤波方法的基本原理，运用这4种方法处理了SAG捷联式重力仪的某次实际飞行测量数据，比对了基于SINS/GPS组合导航和SINS/DGPS组合导航的重力测量数据处理结果。通过对本次试验重复测线内符合精度进行比对，验证了4种方法的可行性和优劣性，同时验证了SAG重力仪的测量精度。

Comparison and Analysis of Data Processing Methods for Strapdown Aviation Gravity Survey System

Gravity data processing plays an important role in obtaining high-precision gravity anomaly values, and it is the core technology for gravity measurement. When the gravimeter is equipped with a motion carrier for gravity measurement, the high-frequency vibration of the carrier will be inevitably produced on gravity measurement data and GPS data. The interference causes the extracted gravity anomaly to contain a large amount of high frequency noise. This paper focuses on the core technology of gravity data processing method, the basic principles of FIR low-pass filtering, zero-phase shift filtering, standard Kalman filtering, and positive and negative Kalman filtering are introduced. Using these four methods, the actual flight measurement data of the SAG strapdown gravimeter is processed. The results of gravity measurement data processing based on SINS/GPS integrated navigation and SINS/DGPS integrated navigation are also compared. Through the comparison of the accuracy in the repeated survey lines of this test, the feasibility, advantages and disadvantages of the four methods are verified, and the measurement accuracy of the SAG gravimeter is also verified.