Abstract
In order to meet the surging demands for location information, GPS as one of the navigation technologies fails to achieve accurate positioning in dense urban or indoor environment. Due to wide coverage and high transmission power of digital television(DTV) transmitters, DTV-based wireless positioning is a promising complementary to global positioning system. This paper presents a new positioning method combining GPS and DTMB. Simulation results show that Extended Kalman Filter Algorithm(EKF) is an effective method to deal with data fusion in hybrid positioning system, filtering trajectory is consistent with the real trajectory basically. Thus this hybrid positioning system has inspired wide research interests to provide a promising positioning solution in dense urban and indoor environments, where GPS performs badly or even fails to work.
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.
