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

doi:10.3969/j.issn.1000-1093.2015.04.004

Abstract

Abstract: 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.

Key words: ordnance science and technology, networked munitions, multi-sensor data fusion, interacting multiple model, fuzzy logic, target tracking

CLC Number:

TP391.9

SUN Bao-liang， JIANG Chun-lan， LI Ming， CHENG Xin-yi. Fuzzy Logic-based Interacting Multiple Model Algorithm of Networked Munitions for Target Tracking[J]. Acta Armamentarii, 2015, 36(4): 595-601.

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