Increased error observability of an inertial pedestrian navigation system by rotating IMU

Indoor pedestrian navigation suffers from the unavailability of useful GNSS signals for navigation. Often a low-cost non-GNSS inertial sensor is used to navigate indoors. However, using only a low-cost inertial sensor for the system degrades its performance due to the low observability of errors affecting such low-cost sensors. Of particular concern is the heading drift error, caused primarily by the unobservability of z-axis gyro bias errors, which results in a huge positioning error when navigating for more than a few seconds. In this paper, the observability of this error is increased by proposing a method of rotating the inertial sensor on its y-axis. The results from a field trial for the proposed innovative method are presented. The method was performed by rotating the sensor mechanically–mounted on a shoe–on a single axis. The method was shown to increase the observability of z-axis gyro bias errors of a low-cost sensor. This is very significant because no other integrated measurements from other sensors are required to increase error observability. This should potentially be very useful for autonomous low-cost inertial pedestrian navigation systems that require a long period of navigation time.

[1]  Chris Hide,et al.  Integration of GPS and low cost INS measurements , 2003 .

[2]  Fei-Bin Hsiao,et al.  Development of a Low-Cost Attitude and Heading Reference System Using a Three-Axis Rotating Platform , 2010, Sensors.

[3]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[4]  Edward S. Geller,et al.  Inertial System Platform Rotation , 1968, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Antonio M. López,et al.  Pedestrian Navigation Based on a Waist-Worn Inertial Sensor , 2012, Sensors.

[6]  Yong Yang,et al.  Fiber-optic strapdown inertial system with sensing cluster continuous rotation , 2004, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Zhao Lin,et al.  The research on rotation self-compensation scheme of strapdown inertial system , 2009, 2009 International Conference on Mechatronics and Automation.

[8]  S. Godha,et al.  Foot mounted inertial system for pedestrian navigation , 2008 .

[9]  Xiaoying Gao,et al.  Research on accuracy improvement of INS with continuous rotation , 2009, 2009 International Conference on Information and Automation.

[10]  Agus Budiyono,et al.  Principles of GNSS, Inertial, and Multi-sensor Integrated Navigation Systems , 2012 .

[11]  Eric Foxlin,et al.  Pedestrian tracking with shoe-mounted inertial sensors , 2005, IEEE Computer Graphics and Applications.

[12]  Tomer Toledo,et al.  Assessment of Aided-INS Performance , 2012 .

[13]  R.K. Curey,et al.  Proposed IEEE inertial systems terminology standard and other inertial sensor standards , 2004, PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556).

[14]  Jiang-ning Xu,et al.  Error analysis for SINS with different IMU rotation scheme , 2010, 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010).

[15]  T. Aoki,et al.  Accuracy Improvement of an Inertial Navigation System Brought about by the Rotational Motion , 2007, OCEANS 2007 - Europe.

[16]  Fernando Seco Granja,et al.  Improved heuristic drift elimination with magnetically-aided dominant directions (MiHDE) for pedestrian navigation in complex buildings , 2012, J. Locat. Based Serv..

[17]  Chris Hide,et al.  Aiding Low Cost Inertial Navigation with Building Heading for Pedestrian Navigation , 2011, Journal of Navigation.

[18]  Naser El-Sheimy,et al.  A new multi-position calibration method for MEMS inertial navigation systems , 2007 .

[19]  Wei Gao,et al.  Analysis of error for a rotating strap-down inertial navigation system with fibro gyro , 2010 .

[20]  Chris Hide,et al.  Aiding MEMS IMU with building heading for indoor pedestrian navigation , 2010, 2010 Ubiquitous Positioning Indoor Navigation and Location Based Service.

[21]  An Li,et al.  Improved precision of strapdown inertial navigation system brought by dual-axis continuous rotation of inertial measurement unit , 2010, 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010).

[22]  Lun-dong Zhang,et al.  Research on Auto Compensation Technique of Strap-down Inertial Navigation Systems , 2009, 2009 International Asia Conference on Informatics in Control, Automation and Robotics.