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Observer Trajectory Optimization of Maneuvering Target for Bearings-only Tracking

机译:纯方位跟踪的机动目标观察者轨迹优化

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摘要

An approach to observer trajectory optimization for maneuvering target is proposed in this paper through minimizing the cost function based on Extended Kalman Filter (EKF) related with uncertainties of state estimate. Computer simulation results demonstrate that the significant improvement in accuracy can be further achieved through combining observer trajectory optimization with Interacting Multiple Model (IMM) estimator.
机译:通过最小化基于状态估计不确定性的扩展卡尔曼滤波器(EKF)的成本函数,提出了一种机动目标观测器轨迹优化方法。计算机仿真结果表明,通过将观察者的轨迹优化与交互多模型(IMM)估计器相结合,可以进一步实现精度的显着提高。

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