Abstract
In this paper, we aim to propose a wildlife tracking scheme for forest areas similar to the greater Khingan mountains in China. The classic outdoor positioning technology, such as global navigation satellite system (GNSS), has the advantages of all-weather positioning, global coverage and high positioning accuracy. However, due to more signal occlusion in forest areas, the GNSS positioning effect is not good. Another example is inertial navigation system (INS), which does not rely on external information or limited positioning environment, and has high positioning accuracy. However, as the positioning time increases, the positioning error of INS gradually accumulates, resulting in poor positioning effect. In this paper, we propose an animal tracking scheme based on Time difference of arrival (TDOA) localization algorithm and extended Kalman filter (EKF) with the help of Unmanned aerial vehicle (UAV) and Wireless sensor network (WSN) to solve the problem of wildlife monitoring in forest areas. The simulation results show that our scheme is feasible.
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.
