Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm

Shaohuan Yang; Xiaoguang Gao; Haiyang Chen

doi:10.1109/ICACTE.2010.5578949

Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm

Shaohuan Yang, Xiaoguang Gao, Haiyang Chen

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Ground thread identification is the foundation of tactical decision-making to the reconnaissance and strike integrated UAV (Unmanned Aerial Vehicle). Based on the network structure of a single time slice, the traditional Direct-Inference (DI) algorithm is improved for fuzzy discrete dynamic Bayesian network model in this paper. First of all, the improved DI algorithm is derived, and then the network model based on this algorithm for the purpose of UAV ground thread identification is established as an example. The simulation results demonstrate that the algorithm can not only accurately infer the type of the ground thread by combining feature information, but also significantly shorten the cost time of the Inference.

Original language	English
Title of host publication	ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
Pages	V1577-V1580
DOIs	https://doi.org/10.1109/ICACTE.2010.5578949
State	Published - 2010
Event	2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010 - Chengdu, China Duration: 20 Aug 2010 → 22 Aug 2010

Publication series

Name	ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
Volume	1

Conference

Conference	2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010
Country/Territory	China
City	Chengdu
Period	20/08/10 → 22/08/10

Keywords

Fuzzy discrete dynamic Bayesian networks
Ground thread identification
Improved Direct-Inference algorithm
The reconnaissance and strike integrated UAV

Access to Document

10.1109/ICACTE.2010.5578949

Cite this

Yang, S., Gao, X., & Chen, H. (2010). Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm. In ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings (pp. V1577-V1580). Article 5578949 (ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings; Vol. 1). https://doi.org/10.1109/ICACTE.2010.5578949

Yang, Shaohuan ; Gao, Xiaoguang ; Chen, Haiyang. / Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm. ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings. 2010. pp. V1577-V1580 (ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings).

@inproceedings{9a9c01e9ffa7446a996ad04e3ba19428,

title = "Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm",

abstract = "Ground thread identification is the foundation of tactical decision-making to the reconnaissance and strike integrated UAV (Unmanned Aerial Vehicle). Based on the network structure of a single time slice, the traditional Direct-Inference (DI) algorithm is improved for fuzzy discrete dynamic Bayesian network model in this paper. First of all, the improved DI algorithm is derived, and then the network model based on this algorithm for the purpose of UAV ground thread identification is established as an example. The simulation results demonstrate that the algorithm can not only accurately infer the type of the ground thread by combining feature information, but also significantly shorten the cost time of the Inference.",

keywords = "Fuzzy discrete dynamic Bayesian networks, Ground thread identification, Improved Direct-Inference algorithm, The reconnaissance and strike integrated UAV",

author = "Shaohuan Yang and Xiaoguang Gao and Haiyang Chen",

year = "2010",

doi = "10.1109/ICACTE.2010.5578949",

language = "英语",

isbn = "9781424465408",

series = "ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings",

pages = "V1577--V1580",

booktitle = "ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings",

note = "2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010 ; Conference date: 20-08-2010 Through 22-08-2010",

}

Yang, S, Gao, X & Chen, H 2010, Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm. in ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings., 5578949, ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings, vol. 1, pp. V1577-V1580, 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, Chengdu, China, 20/08/10. https://doi.org/10.1109/ICACTE.2010.5578949

Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm. / Yang, Shaohuan; Gao, Xiaoguang; Chen, Haiyang.
ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings. 2010. p. V1577-V1580 5578949 (ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm

AU - Yang, Shaohuan

AU - Gao, Xiaoguang

AU - Chen, Haiyang

PY - 2010

Y1 - 2010

N2 - Ground thread identification is the foundation of tactical decision-making to the reconnaissance and strike integrated UAV (Unmanned Aerial Vehicle). Based on the network structure of a single time slice, the traditional Direct-Inference (DI) algorithm is improved for fuzzy discrete dynamic Bayesian network model in this paper. First of all, the improved DI algorithm is derived, and then the network model based on this algorithm for the purpose of UAV ground thread identification is established as an example. The simulation results demonstrate that the algorithm can not only accurately infer the type of the ground thread by combining feature information, but also significantly shorten the cost time of the Inference.

AB - Ground thread identification is the foundation of tactical decision-making to the reconnaissance and strike integrated UAV (Unmanned Aerial Vehicle). Based on the network structure of a single time slice, the traditional Direct-Inference (DI) algorithm is improved for fuzzy discrete dynamic Bayesian network model in this paper. First of all, the improved DI algorithm is derived, and then the network model based on this algorithm for the purpose of UAV ground thread identification is established as an example. The simulation results demonstrate that the algorithm can not only accurately infer the type of the ground thread by combining feature information, but also significantly shorten the cost time of the Inference.

KW - Fuzzy discrete dynamic Bayesian networks

KW - Ground thread identification

KW - Improved Direct-Inference algorithm

KW - The reconnaissance and strike integrated UAV

UR - https://www.scopus.com/pages/publications/78149297484

U2 - 10.1109/ICACTE.2010.5578949

DO - 10.1109/ICACTE.2010.5578949

M3 - 会议稿件

AN - SCOPUS:78149297484

SN - 9781424465408

T3 - ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings

SP - V1577-V1580

BT - ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings

T2 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010

Y2 - 20 August 2010 through 22 August 2010

ER -

Yang S, Gao X, Chen H. Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm. In ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings. 2010. p. V1577-V1580. 5578949. (ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings). doi: 10.1109/ICACTE.2010.5578949

Ground thread identification of the reconnaissance and strike integrated UAV based on improved direct inference algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this