基于广义动态约束的红外目标追踪研究

Infrared Target Tracking Based on the Generalized Dynamic Constraints

将红外目标的运行状态划分为不同的测量阶段。首先确定选择的时刻状态,进行参数化动态预测,然后写出红外目标状态转移方程,最后计算最优函数值,其核心思想是把目标追踪问题转为阶段变量,逐时间段内实现最优,在预定的时刻追踪达到最佳效果,最后通过仿真验证了算法的有效性。

The infrared target operating state is divided into different measurement stages. First, choose a time to determine the state parameters of dynamic prediction, and then write out state transition equation of infrared target, and finally calculate the optimal function value. The core idea is to turn the target tracking into variables, to achieve optimal by time period, to track the best results in the scheduled time. Finally, the effectiveness of the algorithm is verified through simulation