CAJ | 학술논문

该文提出一种基于多维指纹地磁信息辅助的室内移动轨迹映射方法。利用 Wi-Fi 指纹获得初始位置，手机内置的惯性传感器指纹实时收集数据，结合室内平面图推算用户的瞬时位置；利用地磁感应器指纹实时收集行人真实位置的磁场数据，采用最小均方根算法校准移动设备的轨迹；利用规范向量和单位向量滤除预测错误的位置。实验表明，该文方法与现有的室内轨迹映射方法相比，在减小计算量的条件下提高了轨迹映射精度。
해문제출일충기우다유지문지자신식보조적실내이동궤적영사방법。이용 Wi-Fi 지문획득초시위치，수궤내치적관성전감기지문실시수집수거，결합실내평면도추산용호적순시위치；이용지자감응기지문실시수집행인진실위치적자장수거，채용최소균방근산법교준이동설비적궤적；이용규범향량화단위향량려제예측착오적위치。실험표명，해문방법여현유적실내궤적영사방법상비，재감소계산량적조건하제고료궤적영사정도。
A trajectory mapping method, called MagCom, is proposed based on the geomagnetic perception of indoor mobile devices. MagCom gets the initial position by means of Wi-Fi localization technology, and then calculates the instantaneous position of users continuously leveraging data of the phone's built-in inertial sensors in real time by the floors plan. The magnetic field data of the pedestrian’s location are captured to calibrate the mapping trajectory of mobile devices with the least squares algorithm. Furthermore, the unit vector and the norm vector are applied to reduce outliers in the searching algorithm. The experimental results show that the proposed method can not only improve the trajectory mapping accuracy but reduce the computational complexity than the state of arts.