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Application of Kalman filter to track ship Maneuver

机译:卡尔曼滤波器在船舶操纵跟踪中的应用

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One of the algorithms implemented in Radar system is Kalman filter. Kalman filter is one of a method to estimate a problem in dynamic systems and model measurement. Kalman filter has the ability to estimate certain condition either in the past, current, future time, or characteristic of the model unknown. The Purpose of this paper is to design ships tracking system using Kalman filter algorithm. According to the estimation result, Kalman filter can overcome noise from radar. This research shows that Kalman filter gives a good performance in tracking normal cruising speed.
机译:雷达系统中实现的算法之一是卡尔曼滤波器。卡尔曼滤波器是评估动态系统和模型测量中的问题的一种方法。卡尔曼滤波器具有估算过去,当前,未来时间或未知模型特征的某些条件的能力。本文的目的是设计使用卡尔曼滤波算法的船舶跟踪系统。根据估计结果,卡尔曼滤波器可以克服雷达的噪声。研究表明,卡尔曼滤波器在跟踪正常巡航速度方面具有良好的性能。

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