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

基于EKF的雷达与红外数据融合，通过状态向量融合与量测融合两种方法对多目标进行跟踪-EKF-based data fusion and infrared radar, through state vector fusion and measurement fusion of two methods for multi-target tracking