一种带加速度补偿的H_∞次优滤波目标跟踪算法  

An H_∞ Suboptimal Filter Target Tracking Algorithm With Acceleration Compensation

作　　者：王青[1] 刘文美[1] 董朝阳[1] 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100083

出　　处：《系统仿真学报》2006年第7期2042-2045,共4页Journal of System Simulation

摘　　要：提出一种带加速度补偿的H∞次优滤波跟踪算法。该跟踪算法通过不断调整H∞滤波器的参数γ来逼近H∞最优滤波器。同时,引入一个加速度估计器和一个机动检测器,加速度估计器通过目标最近三点的位置来估计目标当前加速度值,机动检测器用来检测目标是否机动,当检测到目标机动时,则启动加速度估计器计算加速度,并利用该值对目标状态估计值进行补偿。从而使得该跟踪算法不仅对目标机动具有鲁棒性,而且所得到得估计误差方法最小。仿真结果表明,所提出的目标跟踪算法对高机动目标有良好的跟踪效果。An H∞ suboptimal filter target tracking algorithm with acceleration compensation was proposed. An H∞ suboptimal filter is used in the tracking algorithm to approximate H∞ optimal filter by constantly adjusting the parameter γ. Meanwhile, an acceleration estimator, which is used to calculate the current acceleration from the last three target positions, and a maneuver detector, which is used to detect the beginning and the end of a target maneuver, was introduced. When target maneuvering is detected, the acceleration estimator is switched on and the estimated acceleration is used to compensate the estimated target states. Thus the proposed tracking algorithm is robust to target maneuvers and can minimize the estimation variance as well. Simulation results show that the proposed algorithm has good performance for highly maneuvering targets.

关 键 词：H∞滤波器 鲁棒性 目标跟踪 加速度估计 

分 类 号：TJ760.6[兵器科学与技术—武器系统与运用工程] TJ765.3