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Robust Local Weighted Regression for Magnetic Map-Based Localization on Smartphone Platform
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作者 Zhibin Meng Mei Wang +1 位作者 Enliang Wang Xiangyu Xu 《Journal of Computer and Communications》 2017年第3期80-90,共11页
The magnetic information measured on the smartphone platform has a large fluctuation and the research of indoor localization algorithm based on smart-phone platform is less. Indoor localization algorithm on smartphone... The magnetic information measured on the smartphone platform has a large fluctuation and the research of indoor localization algorithm based on smart-phone platform is less. Indoor localization algorithm on smartphone platform based on particle filter is studied. Robust local weighted regression is used to smooth the original magnetic data in the process of constructing magnetic map. Use moving average filtering model to filter the online magnetic observation data in positioning process. Compare processed online magnetic data with processed magnetic map collected by smartphone platform and the average matching error is 0.3941uT. Average positioning error is 0.229 meter when using processed online and map data. 展开更多
关键词 INDOOR LOCALIZATION MAGNETIC PARTICLE Filter ROBUST Local WEIGHTED Regression Algorithm
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