典型文献
Heading constraint algorithm for foot-mounted PNS using low-cost IMU
文献摘要：
Foot-mounted pedestrian navigation system (PNS) is a common solution to pedestrian navigation using micro-electro mechanical system (MEMS) inertial sensors. The inherent prob-lems of inertial navigation system (INS) by the traditional algo-rithm, such as the accumulated errors and the lack of observation of heading and altitude information, have become obstacles to the application and development of the PNS. In this paper, we introduce a heuristic heading constraint method. First of all, according to the movement characteristics of human gait, we use the generalized likelihood ratio test (GLRT) detector and introduce a time threshold to classify the human gait, so that we can effectively identify the stationary state of the foot. In addition, based on zero velocity update (ZUPT) and zero angular rate update (ZARU), the cumulative error of the inertial measurement unit (IMU) is limited and corrected, and then a heuristic heading estimation is used to constrain and correct the heading of the pedestrian. After simulation and experiments with low-cost IMU, the method is proved to reduce the localization error of end-point to less than 1％ of the total distance, and it has great value in application.
文献关键词：
中图分类号：
作者姓名：
GUI Jing;ZHAO Heming;XU Xiang
作者机构：
School of Electronic and Information Engineering,Soochow University,Suzhou 215006,China
文献出处：
引用格式：
[1]GUI Jing;ZHAO Heming;XU Xiang-.Heading constraint algorithm for foot-mounted PNS using low-cost IMU)[J].系统工程与电子技术（英文版）,2022(03):727-736
A类：
ZARU
B类：
Heading,constraint,algorithm,foot,mounted,PNS,using,low,cost,IMU,Foot,pedestrian,navigation,system,common,solution,micro,electro,mechanical,MEMS,inertial,sensors,inherent,prob,lems,INS,by,traditional,such,accumulated,errors,lack,observation,heading,altitude,information,have,become,obstacles,application,development,In,this,paper,we,introduce,heuristic,method,First,all,according,movement,characteristics,human,gait,generalized,likelihood,ratio,test,GLRT,detector,threshold,classify,that,can,effectively,identify,stationary,state,addition,zero,velocity,update,ZUPT,angular,rate,cumulative,measurement,unit,limited,corrected,then,estimation,used,After,simulation,experiments,proved,reduce,localization,end,point,less,than,total,distance,has,great,value
AB值：
0.57226
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