雷达科学与技术2011，Vol.9Issue(1)：48-52,5.
基于单极点反馈积累的三种目标跟踪算法
Three Target Tracking Algorithms Based on Single Pole Feedback Accumulation Theory
摘要
Abstract
The state covariance matrix and state estimate directly affects KF filtering system. In order to decrease error, three improved algorithms are proposed based on single-pole-filtering-feedback-accumulation (SPFA) theory. In this paper, SPFA processing is used to approach the estimated parameters by current and the passed information and to update the state error covariance matrix and state estimate. The theoretical analysis and simulation results show that the proposed algorithms are valid.关键词
卡尔曼滤波/扩展卡尔曼滤波/不敏卡尔曼滤波/单极点反馈积累/二次滤波Key words
Kalman filter(KF) / extended Kalman filter(EKF)/ unscented Kalman filter(UKF) / single pole feedback accumulation/ secondary filtering分类
信息技术与安全科学引用本文复制引用
李苏,杨军,闫世强..基于单极点反馈积累的三种目标跟踪算法[J].雷达科学与技术,2011,9(1):48-52,5.基金项目
军队重点项目(No.KJ09613) （No.KJ09613）
