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【答案】应助回帖
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baroshi: 金币+5, ★★★★★最佳答案 2014-03-18 12:55:37
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-03-18 15:02:57
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 |
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