An Novel Method for Object Tracking in Sensor Network Combination with Trilateration and UT Transform

Abstract

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.