Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect targets by passive radars  

作　　者：Xiang Gao Yangwang Fang Youli Wu 

机构地区：[1]School of Aeronautics and Astronautic Engineering, Air Force Engineering University

出　　处：《Journal of Systems Engineering and Electronics》2013年第5期800-810,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(60874040)

摘　　要：The problem of passive detection discussed in this paper involves searching and locating an aerial emitter by dualaircraft using passive radars. In order to improve the detection probability and accuracy, a fuzzy Q learning algorithrn 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 maneu- vering target.The problem of passive detection discussed in this paper involves searching and locating an aerial emitter by dualaircraft using passive radars. In order to improve the detection probability and accuracy, a fuzzy Q learning algorithrn 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 maneu- vering target.

关 键 词：Markov decision process （MDP） fuzzy Q learning dual-aircraft coordination path planning passive detection. 

分 类 号：V243.2[航空宇航科学与技术—飞行器设计]