摘要
针对有源的室内定位技术应用场景局限,布置设备成本高昂的现状,提出了一种无源高效的基于移动众包方式的地磁指纹定位技术。创新地提出了基于传感器阵列的地磁指纹采集与匹配方法,通过移动众包的方式来解决指纹采集更新工作量大、专业性强的技术适用性难题。通过基于核模糊C均值地磁指纹聚类算法训练离线指纹库,在20次重复实验的情况下,地磁指纹定位平均定位误差为1. 87 m,90%的定位误差小于3 m,较地磁线图匹配算法定位精度及性能均有较大的提升。
Aiming at the limitation of application scenarios of active indoor positioning technology and the high cost of layout equipment,a passive and efficient method based on mobile crowd-sourcing is proposed. Firstly,an innovative geomagnetic fingerprint acquisition and matching method based on sensor array is proposed. Solving the problem of technical applicability of large and professional fingerprint collection and update by moving crowdsourcing. Training offline fingerprint database through kernel fuzzy C-means(KFCM) geomagnetic fingerprint clustering algorithm,in the case of 20 replicated experiments,average positioning error of geomagnetic fingerprint positioning is 1. 87 m,90 % positioning error is less than 3 m. Compared with geomagnetic map matching algorithm,positioning precision and performance are greatly improved.
作者
章裕润
吴飞
毛万葵
ZHANG Yurun;WU Fei;MAO Wankui(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201600,China)
出处
《传感器与微系统》
CSCD
2019年第12期36-39,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61272097)
上海市科技委员会重点项目(18511101600)
上海工程技术大学研究生科研创新资助项目(E3-0903-18-01244)
关键词
移动众包
地磁插值算法
传感器阵列
指纹聚类
mobile crowdsourcing
geomagnetic interpolation algorithm
sensor array
fingerprint clustering
