使用各种跟踪过滤器跟踪操纵目标。该示例显示了使用单个运动模型和多个运动模型的过滤器之间的差异。

Illustrates the use of particle filters and Gaussian-sum filters to track a single object using range-only measurements.

当测量值包裹在角度，范围或范围速率上时，跟踪对象。

Illustrates how to track targets using passive angle-only measurements from a single sensor. Passive angle-only measurements contain azimuth and elevation of a target with respect to the sensor. The absence of range measurements makes the problem challenging as the targets to be tracked are fully observable only under certain conditions.

使用滤波器级别的改编技术处理序列测量。

Smooth state estimates of a target using the smooth object function. Smoothing is a technique to refine previous state estimates using the up-to-date measurements and the state estimate information. In this example, you will learn how to improve previously corrected estimates from an Interacting Multi-Model (IMM) filter by running a backward recursion, which produces smoothed and more accurate state estimates. In the first section, you implement a smooth algorithm to smooth the trajectory of a turning car. In the remainder of this example, you perform smoothing on several highly maneuvering aircraft trajectories, taken from the Benchmark Trajectories for Multi-Object Tracking example.

Tune process noise and measurement noise of a constant velocity Kalman filter.