机动目标跟踪中基于曲线拟合的转速估计

Xiao Wang, Chongzhao Han
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引用次数: 6

摘要

具有未知行为的高机动目标的跟踪是状态估计中的一个难点问题。提出了一种基于自适应旋转速率模型的多模型交互跟踪算法(IMM)。利用最小二乘法和曲线拟合理论,从目标轨迹的速度和曲率半径估计量出发,计算出每一步的转速。不同场景下的仿真结果表明,该自适应框架下的航速估计技术能够有效地解决机动目标跟踪问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Turn rate estimation based on curve fitting in maneuvering target tracking
Tracking of highly maneuvering targets with unknown behavior is a difficult problem in state estimation. This paper presents an interacting multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target. The turn rate is calculated at each step form the estimator of velocity and the radius of curvature of the trajectory of the target by using Least Square (LS) and curve fitting theory. Simulation in different scenario proves that the turn-rate estimation techniques in this adaptive framework can significantly solve the problem of tracking maneuvering targets.
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