The Study of Proton Magnetometer FID Signal Processing Algorithm

摘要

Because the frequency of the FID signal (Free Induction Decay Signal) is proportional to the strength of magnetic field, the accuracy of frequency measurement is directly related to the accuracy of magnetic field measurement. With the development of weak signal detection, the effect of noise suppression has been became better and better. In order to improve the accuracy and stability of the frequency measurement of FID signal, many methods had been taken, however, many of them may be much better if they had considered the signal detection in a dynamic measurement and strong noisy environment. So the method based on SCA-Controller (Superposition Correlation and Adaptive Controller) is proposed in this paper. Firstly, this paper focuses on discussing the mathematical model of FID signal, basic principle and describing the design of SCA-Controller. Secondly, the proton magnetometer FID signal is processed in the method of SCA-Controller, then the effect diagram of SCA-Controller and FFT is given. Finally, the performance parameters such as SRAV and RMSE are calculated. To sum up, after the simulation and experiment, the method of SCA-Controller is proved to be effective and feasible.