Aeromagnetic detection technology is widely used in the field of geological exploration, geomagnetic navigation, but airborne magnetometer sensor inevitable by aircraft platform to generate magnetic interference effects, aeromagnetic compe-nsation technology arises at the historic moment. Improving the accuracy of the magnetic compensation is the key to realize the high precision navigation. However, magnetometer sensor itself due to existence of measurement error, if the direct use of these data will influence aeromagnetic compensation and aeromagnetic detection accuracy.The thesis is to improve the compensation precision of aeromagnetic compensation system as the goal around aeromagnetic compensation system in tri-component magnetometer and optically pumped magnetometer measurement errors calibration, to complete the work of the following three aspects,The thesis based on the existing paper shows that the established of a tri-component magnetometer overall error model, and realize the digital simulation. Deeply analysis tri-component magnetometer sensor mechanism and overall error model, according to each error on aeromagnetic compensation system to classify the error, and integrate into the tri-component magnetometer magnetic sensors overall error model. The thesis also proposes a species magnetometer magnetic sensor erro r correction algorithm based on recursive least squares method of tri-component. The proposed algorithm mainly for existing tri-component magnetometer magnetic sensor calibration algorithm for error correction error of unity and the morbid problems to improve, and improve the “plus†impact category error aeromagnetic compensation system, and complete tri-component magnetometer calibration coefficient error parameter identification.The thesis establish a optical pump magnetometer heading error model, and realize the digital simulation. Optical pump magnetometer can have heading error within a certain scope, and this error will influence the precision of aeromagnetic compensation system, we need to establish optical pump magnetometer heading error model. In this thesis, trrning on the optical pump magnetometer differential mechanism in-depth analysis, establish the optical pump magnetometer heading error model. The thesis propose a model based on the improved T-L optical pump magnetometer to poor calibration algorithm. Through optical pump magnetometer measure differential mechanism and optical pump magnetometer to analyse the mechanism, and combine with aeromagnetic compensation using T-L model, extended use by T-L model calibration method, at the same time, in order to avoid solving process appear complsive, choose optical pump magnetometer recursive least square method to find the solution to poor calibration coefficient, and complete tri-component magnetometer calibration coefficient error parameter identifi cation.The thesis implements the magnetic sensor error calibration system, and the measured data validation. Since the output of tri-component magnetometer calibrated scalar data, aeromagnetic compensation operation can not be carried out, therefore, the need of error calibration coefficients for processing, so that the output error after calibration remains in the form of tri-component data. In the thesis, Cholesky algorithm conversion error calibration coefficients. Finally, the magnetic sensor calibration algorithm for measurement error anslysis. |