Real-time magnetic dipole detection with single particle optimization

摘要: In recent years, the use of magnetic field measurements has become relevant in several applications ranging from non-invasive structural fault detection to tracking micro-capsules within living organisms. Magnetic are, however, affected by a high noise due number causes, such as interference external objects and Earth field. Furthermore, many situations fields under analysis are time-variant, for example because generated moving objects, power lines, antennas, etc. For these reasons, general approach accurate real-time dipole is unfeasible, but specific techniques should be devised. this paper we explore possibility using multiple 3-axis sensors estimate position orientation area sensors. We propose Computational Intelligence approach, based on an innovative single particle optimization algorithm, solving, with average period 2.5ms, inverse problem detection. Finally, validate proposed means experimental setup consisting 3 custom graphical application showing estimated dipole. Experimental results show that superior, terms error computational time, state-of-the-art real-parameter algorithms.