假设用一观测器从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 常数 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： 距离S(t-5)的最佳平滑及估计误差， -Suppose observer with a t = 1 seconds starting from a continuously moving target tracking distance measurement, assuming a second

Extended Kalman Filter Tracking Object in 3-D-Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordin

使用卡尔曼滤波器设计的运动物体跟踪。适用于背景也是动态变化的物体跟踪-Tracking moving objects using a Kalman filter design. Applies to the background also dynamic object tracking

假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声；编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, observation noise is zero mean white noise programming using a Kalman filter implementation to track moving