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采用广义方法研究红外目标跟踪中动态约束低效的问题,通过把测量点映射到值域的函数集,建立约束关系,接着对跟踪模型中的变换参量通过匹配点解出,最后对广义动态约束决策函数条件排序,同时修正约束条件,使整个系统在预定的时刻达到最佳跟踪效果。仿真实验表明该方法与动态约束算法相比能有效辨识动态目标,跟踪效果没有丢失现象。
The generalized method is used to study the problem of inefficient dynamic constraint in infrared target tracking. By mapping the measurement points to the function set in the range, a constraint relationship is established. Then the transformation parameters in the tracking model are solved by matching points. Finally, the generalized dynamic constraints The decision-making function conditions are sorted, and the constraints are modified at the same time, so that the whole system achieves the best tracking effect at a predetermined moment. Simulation results show that this method can effectively identify dynamic targets compared with the dynamic constraint algorithm, and the tracking effect is not lost.