Blind source separation of electromagnetic detection signals
Xinyi Wang, Hui Liu, Yucheng Jiao · Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics · 2022
This paper studies the blind source separation of electromagnetic detection signals under the constant interference of electromagnetic environment. The measured signal and electromagnetic interference come from different field sources, independent of each other, and the mixed signal satisfies the condition of instantaneous mixing. The signal is isolated by using the fixed point iterative FastICA algorithm of independent component analysis. The simulation results show that the independent component analysis method can extract the measured signals effectively when the number of field sources is known, which is conducive to the subsequent parameter estimation. This method has fast convergence, small calculation and good engineering practicability.