摘要
针对传统的以匀速(CV)或匀加速(CA)运动作为目标运动模型的卡尔曼跟踪滤波器的计算量大及跟踪精度低的固有缺陷,提出了一种基于CV和CA的交互式卡尔曼滤波模型的机动目标跟踪算法,该算法能在保持直线运动跟踪精度不变的前提下,使做曲线运动的目标的跟踪精度逼近做直线运动的目标的跟踪精度。并将CV和CA模型混合起来进行仿真估计,系统仿真结果表明该算法提高了系统的跟踪精度。
In view of the limitation of the traditional Kalman filter with which the tracking has big calculation amount and low tracking precision base on the model of CV or CA movement,a algorithm is suggested in the present article which is the Interacting Multiple Models Kalman filter（IMM-KF）with the CV and CA model. Under keeping invariant of the tracking precision of linear motion,this method can make the tracking precision of curve motion approach the linear motion＇s. The system simulation results show that this algorithm improves the tracking precision of system with the IMM-KF.
出处
《火力与指挥控制》
CSCD
北大核心
2016年第11期41-44,共4页
Fire Control & Command Control
基金
国家自然科学基金(61501391)
河南省高等学校重点科技基金资助项目(15A510035)
关键词
卡尔曼滤波器
目标跟踪
机动
交互式多模型
系统仿真
kalman filter
target tracking
maneuver
IMM（Interacting Multiple Models）
system simulation
