Bearings-Only Maneuvering Target Tracking Based on STF and UKF

Wang Yali
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引用次数: 2

Abstract

The bearings-only tracking problem (BOT) has been studied for many years and UKF has extensively been applied in passive non-maneuvering target tracking. When target takes maneuver, the estimation will diverge. STF can track the abrupt change of state by tuning the gain matrix online. Based on the advantages of STF and UKF, a new method, STF_UKF, is proposed to track maneuvering target with bearings-only measurements from two separate stationary observers. Simulation results show that STF_UKF is feasible and effective in tracking maneuvering target, especially when initial state deviation and measurement noise are great.
基于STF和UKF的全方位机动目标跟踪
纯方位跟踪问题(BOT)研究已有多年,UKF在被动非机动目标跟踪中得到了广泛的应用。当目标发生机动时,估计会出现偏差。STF可以通过在线调整增益矩阵来跟踪状态的突变。基于STF和UKF的优点,提出了一种基于两个独立静止观测器的单方位跟踪机动目标的新方法——STF_UKF。仿真结果表明,在初始状态偏差和测量噪声较大的情况下,STF_UKF对机动目标的跟踪是可行和有效的。
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