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baroshi

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Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect a target by passive dadars. Journal of systems and engineering and electronics, 2013,24(5).谢谢！

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baroshi: 金币+5, ★★★★★最佳答案 2014-03-18 12:55:37
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Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect targets by passive radars

作者:Gao, X (Gao, Xiang)[ 1 ] ; Fang, YW (Fang, Yangwang)[ 1 ] ; Wu, YL (Wu, Youli)[ 1 ]

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

卷: 24

期: 5

页: 800-810

DOI: 10.1109/JSEE.2013.00093

出版年: OCT 2013

查看期刊信息

摘要

The problem of passive detection discussed in this paper involves searching and locating an aerial emitter by dual-aircraft using passive radars. In order to improve the detection probability and accuracy, a fuzzy Q learning algorithm for dual-aircraft flight path planning is proposed. The passive detection task model of the dual-aircraft is set up based on the partition of the target active radar's radiation area. The problem is formulated as a Markov decision process (MDP) by using the fuzzy theory to make a generalization of the state space and defining the transition functions, action space and reward function properly. Details of the path planning algorithm are presented. Simulation results indicate that the algorithm can provide adaptive strategies for dual-aircraft to control their flight paths to detect a non-maneuvering or maneuvering target.

关键词

作者关键词:Markov decision process (MDP); fuzzy Q learning; dual-aircraft coordination; path planning; passive detection

KeyWords Plus:LOCALIZATION; BEARINGS; TRACKING; SYSTEMS; OPTIMIZATION; TRAJECTORIES

作者信息

通讯作者地址: Gao, X (通讯作者)

Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China.

地址:

[ 1 ] Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China

电子邮件地址:gaoxiang003@126.com; ywfang2008@sohu.com; wu_youli@126.com

基金资助致谢

基金资助机构

授权号

National Natural Science Foundation of China

60874040

查看基金资助信息

出版商

SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT, PO BOX 142-32, BEIJING, 100854, PEOPLES R CHINA

类别 / 分类

研究方向:Automation & Control Systems; Engineering; Operations Research & Management Science

Web of Science 类别:Automation & Control Systems; Engineering, Electrical & Electronic; Operations Research & Management Science

文献信息

文献类型:Article

语种:English

入藏号: WOS:000326769600011

ISSN: 1004-4132

其他信息

IDS 号: 249HZ

Web of Science 核心合集中的 "引用的参考文献": 30

Web of Science 核心合集中的 "被引频次": 0