基于模糊逻辑的交互式多模型网络化弹药多节点目标跟踪算法

针对地面网络化弹药系统多节点目标跟踪问题，提出了基于模糊逻辑的交互式多模型（FL-IMM）多节点目标跟踪算法。在多模型交互输出阶段，利用测量误差协方差矩阵的理论值与估计值之间的差值自适应调整测量误差方差；在多节点融合阶段，建立模糊融合系统（FFS）将来自不同节点的目标状态估计数据融合，进而得到网络目标状态估计。通过一个具有3个主探测节点的网络验证了该算法的可行性。实验结果表明，该算法在传感器失效、系统测量误差未知等情况下仍能很好地跟踪机动目标；该算法在地面网络化弹药多节点目标跟踪方面具有较大的实用性。

Fuzzy Logic-based Interacting Multiple Model Algorithm of Networked Munitions for Target Tracking

Fuzzy logic-based interacting multiple model (FL-IMM) algorithm in target tracking is proposed for networked munitions. During the interacting stage, the difference value between the theoretical value of covariance matrix and its estimated value is used to adaptively adjust the measured error of the system. In order to fuse multi-nodes data, a FFS (fuzzy-fusion system) is proposed to obtain the target state estimation.The feasibility of the proposed algorithm is verified through a network with 3 detecting nodes. The results show that the algorithm can effectively trace the maneuvering target under the condition of sensor failure and unknown system measurement error, which means that FL-IMM algorithm has great practicability in tracking the targets by the ground networked munition multi-nodes.