A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System

This paper proposes a novel zero velocity update (ZUPT) method for a foot-mounted pedestrian navigation system (PNS). First, the error model of the PNS is developed and a Kalman filter is built based on the error model. Second, a novel zero velocity detection algorithm based on the variations in spe...

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Main Authors: Mingrong Ren, Kai Pan, Yanhong Liu, Hongyu Guo, Xiaodong Zhang, Pu Wang
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/1/139
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author Mingrong Ren
Kai Pan
Yanhong Liu
Hongyu Guo
Xiaodong Zhang
Pu Wang
author_facet Mingrong Ren
Kai Pan
Yanhong Liu
Hongyu Guo
Xiaodong Zhang
Pu Wang
author_sort Mingrong Ren
collection DOAJ
description This paper proposes a novel zero velocity update (ZUPT) method for a foot-mounted pedestrian navigation system (PNS). First, the error model of the PNS is developed and a Kalman filter is built based on the error model. Second, a novel zero velocity detection algorithm based on the variations in speed over a gait cycle is proposed. A finite state machine including three states is employed to model a gait cycle. The state transition conditions are determined based on speed using a sliding window. Third, the ZUPT software flow is illustrated and described. Finally, the performances of the proposed method and other methods are examined and compared experimentally. The experimental results show that the mean relative accuracy of the proposed method is 0.89% under various motion modes.
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spelling doaj.art-7b054cd48ff14bbda39d2121db97f0b42022-12-22T02:58:59ZengMDPI AGSensors1424-82202016-01-0116113910.3390/s16010139s16010139A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based SystemMingrong Ren0Kai Pan1Yanhong Liu2Hongyu Guo3Xiaodong Zhang4Pu Wang5School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaThis paper proposes a novel zero velocity update (ZUPT) method for a foot-mounted pedestrian navigation system (PNS). First, the error model of the PNS is developed and a Kalman filter is built based on the error model. Second, a novel zero velocity detection algorithm based on the variations in speed over a gait cycle is proposed. A finite state machine including three states is employed to model a gait cycle. The state transition conditions are determined based on speed using a sliding window. Third, the ZUPT software flow is illustrated and described. Finally, the performances of the proposed method and other methods are examined and compared experimentally. The experimental results show that the mean relative accuracy of the proposed method is 0.89% under various motion modes.http://www.mdpi.com/1424-8220/16/1/139Kalman filterfoot-mounted PNSZUPT
spellingShingle Mingrong Ren
Kai Pan
Yanhong Liu
Hongyu Guo
Xiaodong Zhang
Pu Wang
A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
Sensors
Kalman filter
foot-mounted PNS
ZUPT
title A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
title_full A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
title_fullStr A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
title_full_unstemmed A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
title_short A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System
title_sort novel pedestrian navigation algorithm for a foot mounted inertial sensor based system
topic Kalman filter
foot-mounted PNS
ZUPT
url http://www.mdpi.com/1424-8220/16/1/139
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