会议专题

The Unscented Kalman Filter Estimators for High Dynamic Doppler Shift Environments

  The Extend Kalman Filter (EKF) is widely used in the tracking of high dynamic Doppler shift trajectories,but it has some flows when it is used to estimate the state of nonlinear systems.In this paper,we apply the Unscented Transformation (UT) based Unscented Kalman Filter (UKF) to the state estimation in the high dynamic Doppler environments.Two versions of the UKF estimators,augmented UKF estimator and nonaugemented UKF estimator are designed.To compare the performance of them,they are applied to tracking a common high dynamic trajectory,and simulation results declare that given different conditions,the performance of the estimators will be different.

high dynamic Doppler shift Unscented Transfor-mation UKF augmented nonaugmented

ZHAO Kun PAN Ke Gang LIU Ai Jun GUO Dao Xing

Institute of Communication Engineering, PLA University of Science and Technology,Nanjing, china

国际会议

2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

西安

英文

1487-1491

2012-08-24(万方平台首次上网日期,不代表论文的发表时间)