Open AccessAn Novel Method for Object Tracking in Sensor Network Combination with Trilateration and UT Transform
Author(s) -
Kang Zhang,
Xiaofeng Zhao,
Wen Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012020
Subject(s) - trilateration , kalman filter , tracking (education) , wireless sensor network , computer science , position (finance) , key (lock) , video tracking , object (grammar) , computer vision , artificial intelligence , real time computing , engineering , computer network , psychology , pedagogy , computer security , structural engineering , finance , node (physics) , economics
Positioning and tracking are the key technologies of wireless sensor networks. Trilateration is an important method for the localization of wireless sensor network nodes. This method uses three anchor nodes to determine the location of the target. In this paper, UT transform and trilateral measurement method are combined to obtain the statistics of target position, and then use it as the virtual observation of Kalman filter to realize dynamic target tracking. The simulation results verify the performance of the method proposed in this paper.