Evaluation of Acceleration and Jerk Models in Radar andudIRST Data Fusion for Tracking Evasive Maneuvering Target

摘要

In general, the motion of maneuvering targets is described by acceleration model whichudis a kinematic model including position derivatives up to the second order. It is found thatudfor tracking highly maneuvering targets, it is necessary to include higher order positionudderivatives in the model. A model including derivatives of position up to the third orderudcalled the jerk model is presented. In this paper, the tracking performance of an extendedudKalman filter with the jerk model is evaluated and compared with that of an extendedudKalman filter with acceleration model for fusion and tracking of a maneuvering targetudsensed by IRST and radar.