• No results found

A Combat Survivability Model for Evaluating Air Mission Routes in Future Decision Support Systems

N/A
N/A
Protected

Academic year: 2021

Share "A Combat Survivability Model for Evaluating Air Mission Routes in Future Decision Support Systems"

Copied!
1
0
0

Loading.... (view fulltext now)

Full text

(1)

A Combat Survivability Model for

Evaluating Air Mission Routes in

Future Decision Support Systems

TINA ERLANDSSON

Information Technology

Örebro Studies in Technology 59 I

ÖREBRO 2014

ÖREBRO STUDIES IN TECHNOLOGY 59 2014

TINA

E

RL

AN

DS

SO

N

A Co

m

ba

t S

ur

viv

ab

ilit

y M

od

el f

or E

va

lu

ati

ng A

ir M

is

sio

n R

ou

te

s i

n .

..

tina erlandson works at the Department of Sensor Fusion and Tactical Support at Saab Aeronautics, Linkö-ping, Sweden. She is also a member of the Skövde Artificial Intelligence Lab (SAIL) at the University of Skövde, Sweden. Her main research interests include information fusion and probabilistic modeling, such as Markov models, applied within the air combat domain.

Fighter pilots flying inside hostile environments are exposed to the enemy’s air defense systems. In this doctoral thesis, a combat survi-vability model is proposed that describes the probability of flying a mission route unharmed with respect to the enemy’s ground based air defense systems. The model is able to capture dependencies over time, for example, that the enemy must track the aircraft before firing a weapon. It also models that the enemy’s sensor and weapon systems communicate and share information with each other. The model should be used for route evaluation as a component in a decision support system for aiding fighter pilots to plan and execute their missions. It is shown how the model can be used to analyze and compare routes as well as being part of a route planner. The model’s sensitivity to input uncertainty regarding the locations and types of enemy systems is also analyzed. The thesis concludes that the proposed survivability model enables domain experts to incorporate knowledge regarding different kinds of enemy air defense systems, that the model can be used for evaluating routes regarding multiple objectives and that the model can capture uncertainty regarding the enemy’s positions and capabilities. The proposed model shows promise to be a vital component in future decision support systems.

issn 1650-8580 isbn 978-91-7529-003-4

Doctoral Dissertation

TINA

E

RL

AN

DS

SO

N

A Co

m

ba

t S

ur

viv

ab

ilit

y M

od

el f

or E

va

lu

ati

ng A

ir M

is

sio

n R

ou

te

s i

n .

..

References

Related documents

In the validation of both the black-box and white-box cabin air temperature model, the measured mixed air temperature was used as input.. Had a simulated mixed air temperature from

The lighting control examined in this study was not very complicated to understand essentially, basically the domain knowledge information selected about this control was explicit

2 The result shows that if we identify systems with the structure in Theorem 8.3 using a fully parametrized state space model together with the criterion 23 and # = 0 we

In a study with four primary school teachers in a Swedish forest school setting, educators reported children’s development of an affective relationship with the

Testutrustningen ska kunna läsa och skriva till testminnet, lagra data på moderkortet och slutligen presentera data i LabVIEW.. Större delen av den tillgängliga projekttiden har

After filtering the gene expression data, a total of 2048, 1659 and 2170 genes were dif- ferentially expressed in IgG, dexamethasone, and anti-Vegf treated groups,

The thesis concludes that the proposed survivability model enables domain experts to incorporate knowledge regarding different kinds of enemy systems, that the model can be used

Three different versions of the survivability model have been developed. The two-state model is simplest, in the sense that each enemy system is represented with a threat area and