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基于Adams预估校正的UKF跟踪外推算法
引用本文:张 静,蒋德富,徐玉超.基于Adams预估校正的UKF跟踪外推算法[J].现代雷达,2012,34(10):32-36.
作者姓名:张 静  蒋德富  徐玉超
作者单位:河海大学计算机与信息学院,南京,211100
摘    要:不敏Kalman滤波(UKF)算法可以广泛用于各种目标运动的非线性估计中,传统的UKF滤波算法对于时间更新(即一步预测),一般采用对目标运动方程进行离散化或线性化处理,其结果不可避免地产生离散化误差,当目标运动非线性较强时,会导致跟踪误差增大,甚至无法给出正确的预测结果.文中提出的基于阿当姆斯(Adams)预估校正的UKF算法(即Admas-UKF),很好地解决了弹道目标过顶点的跟踪外推问题,仿真结果显示,与传统的UKF算法相比,此算法提高了跟踪外推精度,而计算时间远少于龙格库塔不敏Kalman滤波(Runge_Kutta-UKF)算法.

关 键 词:跟踪  滤波  外推  UKF算法  Admas-UKF算法

Tracking and Extrapolation Algorithm of UKF Based on Adams Predictor-corrector
ZHANG Jing,JIANG De-fu and XU Yu-chao.Tracking and Extrapolation Algorithm of UKF Based on Adams Predictor-corrector[J].Modern Radar,2012,34(10):32-36.
Authors:ZHANG Jing  JIANG De-fu and XU Yu-chao
Abstract:The unscented Kalman filter has been widely used for nonlinear estimation of many different kinds of targets ,discretization and linerization of targets'motion equation are usually been used to deal with the time updating(one-step prediction) in conventional UKF. However, this may produce discretization error inevitably and will increase the tracking error. when the nonlinearities become severe, it can not give a exact forecast result. An unscented Kalman filter tracking algorithm based on Adams predictor-corrector method (Admas-UKF) is presented, and it has been good to solve the vertex tracking of an artillery target . The results by simulation show that the algorithm has better tracking precision than conventional UKF algorithm while it costs much less time than Runge_Kutta-UKF algorithm.
Keywords:tracking  filtering  extrapolation  UKF algorithm  Admas-UKF algorithm
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