2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC 2017)

113 / 2016-10-24 21:44:34

Study on On-axis Tracking Algorithm of Modified Current Statistical Model

systems engineering; on-axis tracking; modified current statistical model; nonlinear system; filter

On-axis tracking is the difficult point and hot point in the tracking field. It is the expression of computer tracking.The target state is unknown and dynamic.The filter algorithm can affect tracking precision. The tracking effect can be enhanced by synthesized the target model and filter algorithm.On-axis tracking study is the point,for the tracking precision demand of current statistical model to the weak and non-maneuvering maneuvering target,the paper propose an adaptive function,the function is used to confim the error covariance of the acceleration and amplify the range.The Unscented Kalman Filter algorithm calculates the target position and velocity.The ability is raise to maneuvering target.The simulation results show the modified current statistical model and Unscented Kalman Filter algorithm improve the precision of tracking and ability