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A New Algorithm for Multi-Sensors Registration and Target Tracking

机译:一种新的多传感器配准和目标跟踪算法

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摘要

A registration and target tracking algorithm with unscented Kalman filter(UKF) based on earth-centered earth-fixed coordinate system is presented. This algorithm not only considers the geometry of the global, but can register sensors while tracking. the UKF method is used to estimate both the registration errors and system states simultaneously , which has supplied a new method for solving the registration and tracking between the long distance sensors, Monte-Carlo simulation results show that the approach is useful and robust. will play an important role in engineering applications.
机译:提出了一种基于地心固定坐标系的无味卡尔曼滤波(UKF)配准和目标跟踪算法。该算法不仅考虑整体的几何形状,而且可以在跟踪时注册传感器。 UKF方法用于同时估计配准误差和系统状态,为解决长距离传感器之间的配准和跟踪问题提供了一种新方法,Monte-Carlo仿真结果表明该方法是有效且鲁棒的。将在工程应用中发挥重要作用。

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