State Bounding跟踪机动目标研究

Study on Maneuvering Target Tracking for State Bounding

提出一种用 State Bounding估计跟踪机动目标的算法。用预测集、观测集中心距检测目标机动 ,修正系统噪声集尺寸适应目标机动 ,很好地解决了用 state Bounding估计跟踪机动目标问题。模拟结果表明本算法与相应的 kalman滤波器的性能相比 。

This paper presents a new methodology for the tracking maneuvering targets by the means of bounding approach.A detection scheme based on the distance between the centers of the feasible prediction set and observation sequence is employed for a prompt detection of target maneuvers.A modified process noise bound is used to match target maneuvering.The algorithm effectively resolved the maneuvering target tracking with state bounding approach Simulation results show the performance comparison between Kalman filter and this algorithm.