Abstract
The centralized extended Kalman filter is a commonly used approach for target tracking in wireless sensor networks, which usually consumes heavy computing energy on the leader of the tracking cluster. In this paper, we present a target tracking approach using wireless sensor networks based on sequential implementation of the extended Kalman filter. At every tracking time, each member of the tracking cluster transmits its measurement to the leader. The leader utilizes extended Kalman filter to update the current target state estimate whenever it receives a measurement, and completes the current tracking process until it receives the last sensor measurement. Simulations results demonstrates that the proposed target tracking approach can achieve more accurate tracking accuracy than the centralized extended Kalman filter-based tracking approach, but reduce computation time.
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.
