Abstract
We present a ranging-based aiding method for pedestrian inertial navigation, utilizing not only ranging readouts, but also orientation of the ranging sensors. Both numerical and experimental results demonstrated improvements in navigation accuracy using the method. Kalman Filter (KF) was implemented to merge inertial navigation with Zero-Velocity-Update (ZUPT) algorithm and foot- to- foot directional ranging information. The improvement of navigation accuracy was achieved purely algorithmically without any increase in complexity of the hardware. We demonstrated experimentally that the navigation errors can be improved by about two times using the method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
