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
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;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4577-0247-1
DOI :
10.1109/ICSSEM.2011.6081267
