An indoor localization method based on adaptive particle filter fusion of geomagnetism,WiFi and PDR

doi:10.13474/j.cnki.11-2246.2020.0170

Abstract

Abstract: With the rapid development of national economy, people spend more and more time on indoor activities, indoor space environment is more and more complex, the demand for location and navigation services for indoor environments is also increasing. Due to the stability of geomagnetic signals and the widespread deployment of WiFi technology, the integration of geomagnetic and WiFi positioning has certain advantages. Therefore, this paper deals with the acquired signals adopting from adaptive particle filter model and random sampling consistency algorithm by fusion of geomagnetism,WiFi and pedestrian dead reckoning(PDR) based on the Android smart phone as the receiver. Experiments show that compared with other single-class methods, the indoor localization method of fusion of geomagnetism,WiFi and FDR can reduce the error of indoor localization accuracy to 1.02 m.

Key words: WiFi, geomagnetism, PDR, adaptive particle filter, indoor localization

CLC Number:

P228

LU Yanling, WEI Junling, LIU Caiwei, LI Jingwen, JIANG Jianwu. An indoor localization method based on adaptive particle filter fusion of geomagnetism,WiFi and PDR[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 1-6.

References

[1] 郑希阳.基于Android的Wi-Fi室内定位系统的研究与实现[D].哈尔滨:哈尔滨工程大学,2017.
[2] 江聪世,刘佳兴.一种基于智能手机的室内地磁定位系统[J].全球定位系统, 2018,43(5):9-16.
[3] LE W H,WANG Z B,WANG J C,et al. A novel WIFI indoor positioning method based on Genetic Algorithm and Twin Support Vector Regression[C]//The 26th Chinese Control and Decision Conference (2014CCDC). Chanysha:[s.n.], 2014.
[4] 冯峰.基于PDR和WIFI的三维室内定位算法研究[D]. 武汉:华中师范大学,2018.
[5] 王月. 基于Android平台的室内定位方法研究[D]. 西安:西安电子科技大学,2018.
[6] 喻佳宝. 基于智能手机的室内地磁定位方法研究[D]. 深圳:深圳大学,2017.
[7] 李思民,蔡成林,王亚娜,等.基于地磁指纹和PDR融合的手机室内定位系统[J].传感技术学报,2018,31(1):36-42.
[8] 汪少初. 基于PDR的定位与跟踪技术研究及系统设计[D]. 天津:天津大学,2014.
[9] 徐鹏深,滕云田,于子叶,等.基于信号指纹的地磁异常识别算法[J].地震学报,2018,40(1):79-88.
[10] 杨增瑞,段其昌,毛明轩,等.基于磁场指纹辅助的手机室内定位系统[J].传感技术学报,2016,29(9):1441-1448.
[11] 林政树.基于地磁的室内地图创建与存储研究[D]. 广州:华南理工大学,2017.
[12] 吴树坤.基于智能手机的多传感器结合室内定位[D]. 南京:南京邮电大学,2018.
[13] 刘涛.视觉信息辅助的室内建图与行人导航方法研究[J].测绘学报,2019,48(6):804.
[14] MUSA A, NUGRAHA G D, HAN H, et al. A decision tree-based NLOS detection method for the UWB indoor location tracking accuracy improvement[J]. International Journal of Communication Systems,2019,32(13):e3997.
[15] 陈鹏,廖明,刘武平,等.融合三边测量和PDR的室内定位关键技术分析及应用[J].测绘通报,2019(2):17-21.