Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking

Bao Liang Sun; Chun Lan Jiang; Ming Li; Xin Yi Cheng

doi:10.3969/j.issn.1000-1093.2015.04.004

Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking

Bao Liang Sun, Chun Lan Jiang, Ming Li, Xin Yi Cheng

School of Mechatronical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	595-601
Number of pages	7
Journal	Binggong Xuebao/Acta Armamentarii
Volume	36
Issue number	4
DOIs	https://doi.org/10.3969/j.issn.1000-1093.2015.04.004
Publication status	Published - 1 Apr 2015

Keywords

Fuzzy logic
Interacting multiple model
Multi-sensor data fusion
Networked munitions
Ordnance science and technology
Target tracking

Access to Document

10.3969/j.issn.1000-1093.2015.04.004

Cite this

@article{bee99546112843df98018274e65bcabd,

title = "Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking",

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.",

keywords = "Fuzzy logic, Interacting multiple model, Multi-sensor data fusion, Networked munitions, Ordnance science and technology, Target tracking",

author = "Sun, {Bao Liang} and Jiang, {Chun Lan} and Ming Li and Cheng, {Xin Yi}",

year = "2015",

month = apr,

day = "1",

doi = "10.3969/j.issn.1000-1093.2015.04.004",

language = "English",

volume = "36",

pages = "595--601",

journal = "Binggong Xuebao/Acta Armamentarii",

issn = "1000-1093",

publisher = "China Ordnance Society",

number = "4",

}

TY - JOUR

T1 - Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking

AU - Sun, Bao Liang

AU - Jiang, Chun Lan

AU - Li, Ming

AU - Cheng, Xin Yi

PY - 2015/4/1

Y1 - 2015/4/1

N2 - 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.

AB - 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.

KW - Fuzzy logic

KW - Interacting multiple model

KW - Multi-sensor data fusion

KW - Networked munitions

KW - Ordnance science and technology

KW - Target tracking

UR - http://www.scopus.com/inward/record.url?scp=84930172069&partnerID=8YFLogxK

U2 - 10.3969/j.issn.1000-1093.2015.04.004

DO - 10.3969/j.issn.1000-1093.2015.04.004

M3 - Article

AN - SCOPUS:84930172069

SN - 1000-1093

VL - 36

SP - 595

EP - 601

JO - Binggong Xuebao/Acta Armamentarii

JF - Binggong Xuebao/Acta Armamentarii

IS - 4

ER -

Fuzzy logic-based interacting multiple model algorithm of networked munitions for target tracking

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this