@inproceedings{N2017Electronicb,
title = {Electronic Warfare Training Applications of Decision-Support Systems},
author = {N R Osner and W P Plessis},
url = {https://www.sige.ita.br/edicoes-anteriores/2017/st/ST_09_1.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Simp\'{o}sio de Aplica\c{c}\~{o}es Operacionais em \'{A}reas de Defesa 2017 (SIGE2017)},
abstract = {Electronic warfare (EW) and the electromagnetic spectrum (EMS) as a whole are often poorly understood due to their complex nature and the number of unique aspects inherent to the field. Therefore, better training that places a greater emphasis on a visual and interactive approach rather than a purely theoretical or mathematical one is required. One way in which this can be achieved is through the use of EW decision- support systems. These can be used at a higher level to assist EW decision makers in identifying situations where better countermeasure allocations can be made, or at a lower level to help military personnel to understand the interactions inherent in the EMS. One such system is discussed along with an example scenario that demonstrates how it can be applied to these training applications.},
keywords = {decision-support, electronic warfare EW},
pubstate = {published},
tppubtype = {inproceedings}
}
Electronic warfare (EW) and the electromagnetic spectrum (EMS) as a whole are often poorly understood due to their complex nature and the number of unique aspects inherent to the field. Therefore, better training that places a greater emphasis on a visual and interactive approach rather than a purely theoretical or mathematical one is required. One way in which this can be achieved is through the use of EW decision- support systems. These can be used at a higher level to assist EW decision makers in identifying situations where better countermeasure allocations can be made, or at a lower level to help military personnel to understand the interactions inherent in the EMS. One such system is discussed along with an example scenario that demonstrates how it can be applied to these training applications.
