Research On Target Location Technology Under Magnetic Dipole Model

Magnetic target localization technology is a passive positioning technology.As compared to traditional localization technology,it has the advantages of less energy loss,low visibility requirements,high positioning accuracy,etc.In addition to these benefits,the technology can not only locate the angle information of the target,but also have a wide range of application scenarios in the fields of surgery,bio-intelligence monitoring,and intelligent terminal tracking.At present,magnetic localization technology has achieved very a lot of accomplishment,and gradually matures in market products in foreign countries.In China,magnetic positioning technology research is relatively backward,and most of them are still in the stage of relevant theoretical research and experimental exploration.This paper mainly studies the magnetic localization technology based on magnetic dipole model,which mainly includes the following aspects:1.Study the current modeling methods of various magnetic target field intensity,and verify the significant advantages of the magnetic dipole model in magnetic target localization.2.Exploring the magnetic field distribution of the magnetic dipole model and comparing it with the real theoretical magnetic field to obtain the magnetic field error data based on the magnetic dipole model.Combined with magnetic sensor hardware measurement sensitivity and other performance indicators,the magnetic dipole model is obtained by comprehensive analysis.Calculate the optimal range of magnetic fields around the magnetic target.3.Within the optimal distance range for the magnetic target to apply the magnetic dipole model to calculate the magnetic field,a magnetic dipole model parameter correction method is proposed to further reduce the error of using the magnetic dipole model to calculate the real magnetic field in the optimal range.4.The magnetic localization algorithm based on magnetic dipole model is studied.The defects of linear positioning algorithm in practical application are pointed out.In the field of nonlinear magnetic localization algorithm,the quantum particle swarm optimization algorithm is researched and improved,which is used to improve the performance of the algorithm.A hybrid positioning method based on improved quantum particle swarm optimization(APQPSO)is proposed.The algorithm is combined with a local optimization algorithm to improve the accuracy of magnetic target positioning.