A Simple Geomagnetic Field Vector Measurement Method Based on BP Neural Network
Aiming at the problems of nonlinearity and poor real-time calculation of geomagnetic vector by using IGRF13 model online,this paper proposed a simple geomagnetic vector measurement method based on BP neural network.This method firstly established a nonlinear equivalent through BP neural network.Geomagnetic field neural network model,and used the IGRF13 model data to train it.In actual use,only the longitude,latitude and altitude of the carrier could be measured to obtain the geomagnetic field vector of the measurement point of the day through simple weighted calculation,and the use of magnetoresistive sensors could be avoided.The measurement of the geomagnetic field had the problems of parameter calibration and easy to be disturbed by the surrounding environment.Finally,the effectiveness of this method was verified through simulation.Compared with online solving algorithms,this algorithm had a smaller computational complexity and met the accuracy re-quirements.With the update of the IGRF13 model,it could quickly train and establish the updated model.
geomagnetic surveyBP neural networkearth magnetic field model
NETL
NSTL
万方数据
