Collection,Processing And Application Of Geomagnetic Information

With the increasing material and cultural needs of people,indoor positioning technology gradually enters people's field of vision,which has aroused widespread concern.Geomagnetic information has been discovered by some experts and scholars with its excellent characteristics of non-radiation,passive,all-weather,all-weather,all-region,low-energy consumption and applied to indoor positioning and navigation.This paper mainly collects,processes and applies geomagnetic information to indoor positioning.The main work includes:(1)First,the geomagnetic acquisition equipment is introduced from two aspects of hardware design and software design,and then the long-term data collection of the whole and the part is collected from the experimental area at the acquisition distance of 40 cm and 25 cm respectively,and the whole area is divided into three areas;(2)After performing basic processing such as correction on the collected data,then verify whether the data conforms to the normal distribution to analyze the reliability of the data,and then analyze the geomagnetic changes at different times by day,week,month,and half year to analyze the relative stability of the data Analyze the geomagnetic changes at different heights within 1 meter according to 0cm,50 cm and 100cm;(3)Construct a geomagnetic reference map,compare the pros and cons of the three common geomagnetic interpolation methods from both qualitative and quantitative aspects,and select the most appropriate method to construct the geomagnetic reference map.On this basis,the optimal geomagnetic interpolation method is used to analyze the geomagnetic distribution of the geomagnetic contour maps in the X-axis,Y-axis,and Z-axis directions in three regions;(4)Introduce related algorithms based on geomagnetic positioning,introduce the idea of shape context algorithm in graphics into indoor positioning algorithm based on geomagnetic information,propose a geomagnetic multi-point matching positioning algorithm based on shape context,and carry out simulation verification,the results show that the positioning accuracy compared with the single-point matching positioning algorithm,it has been significantly improved.