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首页 » 算法 » 用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量,假设观测的间隔为一秒钟,雷达到运动目标之间的距离为S(t)(1) 统计特性的初值为 (2)...

用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量,假设观测的间隔为一秒钟,雷达到运动目标之间的距离为S(t)(1) 统计特性的初值为 (2)...

于 2022-03-11 发布 文件大小:2.24 kB
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用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量,假设观测的间隔为一秒钟,雷达到运动目标之间的距离为S(t)(1) 统计特性的初值为 (2)观测误差是与和均不相关的白噪声序列,并且有 (3)观测数据存放在附加的文件中(单位:m)。 要求:分析上述对象,建立系统模型,构造卡尔曼滤波器,编程计算,求: (1) 距离S(t)的最佳估计及估计误差, (2) 距离S(t-5)的最佳平滑及估计误差, (3) 距离S(t+5)的最佳预测及估计误差, (4) 对结果进行分析讨论。 -By one observer from the t = 1 PST on a moving target tracking for distance measurement, assuming that the observation interval is one second, the radar that the distance between the moving target for the S (t) (1) the statistical characteristics of the initial condition (2) observational error is not associated with white noise sequence, and (3) observational data stored in the attached document (unit: m). Requirements: Analysis of the above-mentioned object, the establishment of the system model, constructed Kalman filter, programming terms, seeking: (1) distance from S (t) the best estimate and the estimation error, (2) distance from S (t-5) the most good smoothing and estimation error, (3) distance from S (t+ 5) t

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