DocumentCode
2341571
Title
Passive air defense threat detection and location for UAV swarms based on dynamic Bayesian networks
Author
Zotov, Viacheslav ; Gao, Xiaoguang
Author_Institution
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Volume
2
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
167
Lastpage
171
Abstract
This article introduces an algorithm for passive detection and location of air defense threats, based on dynamic Bayesian networks. The algorithm can be applied to mobile robot swarms and uses data on the loss of communication with a UAV for the detection and location of passive enemy air defense threats. The article describes the algorithm and illustrates its work by example.
Keywords
Bayes methods; defence industry; military aircraft; mobile robots; multi-robot systems; remotely operated vehicles; UAV swarm; dynamic Bayesian networks; mobile robot swarms; passive air defense threat detection; passive enemy air defense threat; DBN; UAV; air defense; classification; communication; detection; dynamic Bayesian network; inference; location; swarm; unmanned aerial vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-4577-0247-1
Type
conf
DOI
10.1109/ICSSEM.2011.6081267
Filename
6081267
Link To Document