跟踪密集多回波环境下多机动目标的IMM-PC算法

跟踪密集多回波环境下的多机动目标不论是对数据关联方法，还是对滤波算法来说都是一个具有挑战性的问题，根据已有研究成果，采用交互多模型结合全局最优关联体制的方法是目前解决该问题的推荐方法。本文提出的交互多模型一投影收缩(IMM-PC)算法符合上述想法，采用当前优化算法前沿中简单有效的投影收缩算法，来解决全局最优关联问题，因此对跟踪密集多回波环境下的多机动目标是实用有效的，大量的仿真试验也验证了这一点。

Tracking Closely Maneuvering Targets in Clutter Environment with an IMM - PC Algorithm

The tracking of closely maneuvering targets in clutter environment represents a challenge for both the data correlation and the position estimation algorithms. Previous research and simulations have shown that the combination of an global optimal correlation scheme with an Interacting Multiple Model (IMM) position estimator is preferred for this problem. According to this idea, we utilize the simple but effective Projection and Contraction (PC) method, which is hot in the current optimization area, for the global optimal association, and propose an IMM-PC method in this paper. Our method is both effective and efficient for tracking closely maneuvering targets in clutter, as demonstrated by the simulation results.