Design and Implementation of MARG Sensors Based Positioning Method Using a Mobile Phone

被引：0

作者：

Tian, Zengshan ^{[1
]}

Qian, Guang ^{[1
]}

Zhou, Mu ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China

来源：

PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2015年 / 322卷

关键词：

Indoor positioning; Pedestrian dead reckoning; Extended Kalman filter; Gait detection; Quaternion;

D O I：

10.1007/978-3-319-08991-1_31

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the problems of high cost and complication in indoor positioning, a new kind of positioning method by using a mobile phone based on magnetic, angular, rate, and gravity (MARG) sensors is more favored in recent years. This method estimates the orientation of pedestrian by quaternion. The quaternion-based extended Kalman filter (EKF) used for data fusion and orientation correction reduces the error of linear acceleration and avoids magnetic-field interference. We conduct pedestrian gait detection and step length estimation by using an accelerometer and verify the positioning performance of this method in an mobile phone. Testing results indicate that the positioning accuracy can reach 30 parts per thousand and 20 parts per thousand in the complex magnetic-field and non-magnetic interference environments respectively.

引用

页码：301 / 309

页数：9

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