DocumentCode :
176925
Title :
Air combat game method based on Multi-UAV consensus information
Author :
Xia Chen ; Yifei Wang
Author_Institution :
Shenyang Aerosp. Univ., Shenyang, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
4361
Lastpage :
4364
Abstract :
Under the actual battlefield conditions, due to the impact of the terrain, the weather, and the enemy´s intentional interference information, we can not always detect reliable information of the enemy, and can not make the right decisions, so it finally affect the decision maker´s strategic intent. To ensure that our UAV obtain reliable information during the air combat, we proposed the method using multi-UAV consensus to obtain reliable battlefield information and gain the advantage of the air combat. The method using mathematical tools compare the different actual battlefield information detected by our UAVs through the air combat battlefield, get the degree of similarity between the information and determine whether the information is reliable or not. Finally, the reliable information used by decision-makers to manage or control the battlefield environment´s development, and proved to be a theoretical basis for making the best game strategy. Take an example, two sides 2 V 2 air combat, using the method proposed in this paper for checking. The results show that the method based on multi-UAV consensus information gets rid of the traditional air combat drones information reliability related issues, and establishes a solid foundation to ultimately make the best air combat decision.
Keywords :
autonomous aerial vehicles; decision making; game theory; military aircraft; mobile robots; multi-robot systems; air combat battlefield; air combat game method; decision maker strategic intent; military combat; multiUAV consensus information; reliable battlefield information; Correlation coefficient; Educational institutions; Games; Real-time systems; Reliability theory; Vectors; UAV air combat; air combat decision; information consensus; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852947
Filename :
6852947
Link To Document :
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